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Springer, 2001. — 332 p. — ISBN-13: 978-1852333522. This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers....
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John Wiley, 2006. — 210 p. During the past 45 years a significant amount of research has been published in the area of structural optimization. The great majority of these papers deal with the minimization of the weight of the structure. While weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost design....
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Abstracting and non-profit use of the material is permitted with credit to the source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. Publisher assumes no responsibility liability for...
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Springer, 2013 — 350 p. Series: Studies in Fuzziness and Soft Computing Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of...
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London: The Institution of Engineering and Technology, 2017. — 506 p. This book is about fuzzy logic controller (FLC) and its applications in energy systems. It aims to give an insight into a clear understanding and design approaches of FLCs in MATLAB and MATLAB/Simulink environment. It includes a basic theory of fuzzy sets and FL to prepare the reader for a better understanding...
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Springer, 2017. — 75 p. This book focuses on the fields of fuzzy logic and bioinspired algorithms, especially the bee colony optimization algorithm, and also considers the fuzzy control area. The main idea is that these areas together can solve various control problems and obtain better results. We test the proposed method using two benchmark problems: filling a water tank and...
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Springer, 2018. — 74 p. In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine...
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Springer, 2010. — 456 p. — ISBN 978-3642262395 This monograph belongs to the broader area of Fuzzy Mathematics and it is the first one in Fuzzy Approximation Theory. The chapters are self-contained with lots of applications to teach several advanced courses and the topics covered are very diverse. An extensive background of Fuzziness and Fuzzy Real Analysis is given. The author...
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Springer, 2010. xvi, 185 pages. — (Studies in Fuzziness and Soft Computing). — ISBN 978-3-642-13343-5. The modern origin of fuzzy sets, fuzzy algebra, fuzzy decision making, and “computing with words” is conventionally traced to Lotfi Zadeh’s publication in 1965 of his path-breaking refutation of binary set theory. In a sixteen-page article, modestly titled “Fuzzy Sets” and...
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Springer, 2017. — 144 p. The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the author’s research and others’ findings, it provides readers with a complete overview of the field and highlights key issues and open problems, thus suggesting new research directions. Starting with an introduction to the basic elements of intuitionistic fuzzy...
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Springer, 2006. — 362 p. The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off-line nature makes tuning complicated. The book addresses the...
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Springer, 2006. — 191 p. — ISBN: 3-540-28457-5, 978-3-540-28457-4. Mathematics of Uncertainty provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple...
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Ontario: Byte Craft Limited, 2002. - 75 p. There is a clear lack of basic tutorial materials for fuzzy logic. I decided that I did have enough material to create a reasonable tutorial for those beginning to explore the possibilities of fuzzy logic. In addition to the material presented at the embedded systems conference I have added additional chapters. This booklet started as a...
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Springer, 2013 — 400 p. Studies in Fuzziness and Soft Computing This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic. Fuzzy...
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Springer, 2007. — 384 p. — ISBN 978-3642092893 A broad introduction to the topic of aggregation functions is to be found in this book. It also provides a concise account of the properties and the main classes of such functions. Some state-of-the-art techniques are presented, along with many graphical illustrations and new interpolatory aggregation functions. Particular attention...
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Oxford: Oxford University Press, 2017. — 545 p. The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy...
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Springer, 2005. — 294 p. The book deals with similarity relations defined on a set with functions. The functions are required to map similar elements to similar ones. The book presents basic mathematical properties of structures consisting of similarity-preserving functions and logics for reasoning about similarities. The presented text is self-contained. The notions and results...
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MIT, 2011. — 274 p. — ISBN 978-0262016476. The classical view of concepts in psychology was challenged in the 1970s when experimental evidence showed that concept categories are graded and thus cannot be represented adequately by classical sets. The possibility of using fuzzy set theory and fuzzy logic for representing and dealing with concepts was recognized initially but then...
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Cambridge University Press, 2008. — 343 p. This volume is an accessible introduction to the subject of many-valued and fuzzy logic suitable for use in relevant advanced undergraduate and graduate courses. The text opens with a discussion of the philosophical issues that give rise to fuzzy logic-problems arising from vague language-and returns to those issues as logical systems are...
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Springer, 2016. — 459 p. With the shortcoming and limitation of classical platforms of computation, particularly for tackling uncertainty and imprecision prevalent in our day-to-day life, Soft Computing as an alternative and extended computation paradigm has been making its presence felt, practically in problems being faced by the human civilization along all walks of life....
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Kluwer, 1995. — 471 p. Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent...
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New York: Springer, 2016. - 72p. The work in this book is based on philosophical as well as logical views on the subject of decoding the ‘progress’ of decision making process in the cognition system of a decision maker (be it a human or an animal or a bird or any living thing which has a brain) while evaluating the membership value µ(x) in a fuzzy set or in an intuitionistic...
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2nd ed. — World Scientific, 2007. — 252 p. — ISBN 978-9812706492 This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity....
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Scientific Report. — General Electric, 1997. — 69 p. The purpose of these notes is to introduce the reader to Fuzzy Logic based controllers or Fuzzy Controllers (FCs), one of the most promising emerging technology in the field of Engineering. First, we will focus on the technology development of Fuzzy Controllers. We will explain their development, compilation, and deployment...
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World Scientific, 1995. — 509 p. Soft computing constitutes a collection of disciplines which include fuzzy logic, neural networks, genetic algorithms and probabilistic reasoning. It is fast emerging as a tool to help computer-based intelligent systems mimic the ability of the human mind to employ modes of reasoning that are approximate rather than exact. The basic thesis of soft...
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Springer Science+Business Media B.V. 2011. — 240 p. — (Applied Logic Series 37). — ISBN 978-94-007-0002-4. This is the first book-length treatment of hybrid logic and its proof-theory. Hybrid logic is an extension of ordinary modal logic which allows explicit reference to individual points in a model (where the points represent times, possible worlds, states in a computer, or...
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Berlin: Springer, 2006. - 197 p. This book is about simulating continuous fuzzy systems. Continuous systems, or continuous time dynamical systems, are usually described by a system of ordinary differential equations (ODEs). Many parameters in the system of ODEs are not known precisely and must be estimated. To show the uncertainty in these parameter values we will use fuzzy...
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Springer, 2003. — 168 p. In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because...
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Springer, 2002. — 287 p. This book is intended to be an undergraduate introduction to the theory of fuzzy sets. We envision, sometime in the future, a curriculum in fuzzy systems theory, which could be in computer/information sciences, mathematics, engineering or economics (business, finance), with this book as the starting point. It is not a book for researchers but a book for...
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Springer, 2016. — 252 p. This book offers a timely report on key theories and applications of soft-computing. Written in honour of Professor Gaspar Mayor on his 70th birthday, it primarily focuses on areas related to his research, including fuzzy binary operators, aggregation functions, multi-distances, and fuzzy consensus/decision models. It also discusses a number of interesting...
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Springer Science+Business Media, 2004. — 289 p. — ISBN 978-1-4613-4744-6. List of Figures List of Tables Introduction Management and Intelligent Support Technologies Management Decision Support Systems Hyper Knowledge - a Brief Summary of Experiences New Information Technology, Intelligent Systems and Soft Computing Intelligent Software Agents Soft Computing Some...
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Springer, 2018. — 535 p. This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts,...
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Издательство Springer, 2015, -193 pp. We describe in this book, recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas, such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is organized into two main parts, which contain a group of...
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Springer, 2008. — 237 p. This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. The authors extends the use of fuzzy...
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Springer, 2007. — 893 p. This book comprises a selection of papers from IFSA 2007 on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing...
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Springer, 2009. — 443 p. The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a common occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply...
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Springer, 2018. — 184 p. — ISBN 9811311528. This book addresses the basics of interval/fuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step-by-step modeling for application problems along with simulation and numerical solutions. In general, every science and engineering problem is inherently biased by uncertainty, and there is often a need...
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Kluwer, 1998. — 224 p. The book is exclusively devoted to fuzzy data modeling. The issues the book addresses are highly relevant to many fundamental concerns of both researchers and practitioners of (fuzzy/conventional) databases. The material in the book is the outgrowth of research the author has conducted in recent years while at Catholic University of Leuven (K.U.Leuven) in...
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Издательство World Scientific, 1996, -232 pp. In the fields of image processing and pattern recognition, a great number of differ- different techniques have been investigated, developed, and implemented in the last few decades. Starting from statistical models to neural network algorithms, researchers from all over the world have made a good number of contributions to the...
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College Publications, 2015. — 382 p. Originating as an attempt to provide solid logical foundations for fuzzy set theory, and motivated also by philosophical and computational problems of vagueness and imprecision, Mathematical Fuzzy Logic (MFL) has become a significant subfield of mathematical logic. Research in this area focuses on many-valued logics with linearly ordered truth...
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Springer, 2016. — 225 p. This volume is a result of a special project the purpose of which was twofold. First of all, we wished to provide a bird’s eye view of some novel directions in the broadly perceived “fuzzy logic,” starting from more philosophical and foundational considerations, through a bunch of promising models for the analysis of data, decision-making, and systems...
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Springer, 2000. — 399 p. The expression Soft Computing (SC) was introduced by Lotfi Zadeh as a synergy of methodologies useful for solving problems requiring some form of intelligence that diverts from traditional computing. The principal constituents of SC are: fuzzy logics, neural networks, probabilistic reasoning, evolutionary computing, chaotic computing and parts of machine...
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Springer, 1997. — 363 p. The book is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific...
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Intech, 2012. — 428 p. This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines. The book consists of nineteen chapters categorized into 1) Robotics and Electrical Machines 2) Intelligent Control Systems with various applications, and 3) New Fuzzy Logic Concepts and Theories. The intended readers...
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Издательство InTech, 2012, -294 pp. Algorithm is used to define the notion of decidability. It is a set of rules that precisely defines a sequence of operations. This is essential for computers to process information. Computer programs contain algorithms that detail specific instructions a computer should perform to carry out a specified task. The traditional computer program...
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InTeO, 2012. - 346 p. This book is a major reference source for all those concerned with applied intelligent systems. The intended readers are researchers, engineers, medical practitioners, and graduate students interested in fuzzy logic systems. The capability of Fuzzy Logic in the development of emerging technologies is introduced in this book. The book consists of...
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Springer, 2016. — 118 p. This book presents the first algebraic treatment of quasi-truth fuzzy logic and covers the algebraic foundations of many-valued logic. It offers a comprehensive account of basic techniques and reports on important results showing the pivotal role played by perfect many-valued algebras (MV-algebras). It is well known that the first-order predicate...
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Springer, 2002. — 397 p. At the beginning of the new millennium, fuzzy logic opens a new challenging perspective in information processing. This perspective emerges out of the ideas of the founder of fuzzy logic - Lotfi Zadeh, to develop 'soft' tools for direct computing with human perceptions. The enigmatic nature of human perceptions manifests in their unique capacity to...
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Springer, 2001. — 387 p. The goal of autonomous mobile robotics is to build and control physical systems which can move purposefully and without human intervention in real-world environments which have not been specifically engineered for the robot. The development of techniques for autonomous mobile robot operation constitutes one of the major trends in the current research and...
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Kluwer, 2003. — 227 p. Fuzzy Logic is a computational paradigm capable of modelling the own uncertainness of human beings. Fuzzy reasoning is nothing else than a Fuzzy Logic-based formalism for encoding human knowledge or common sense in a numerical framework. Indeed, the mathematical concepts on which Fuzzy Logic is supported are very easy to understand. In a Fuzzy Controller,...
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Springer, 2005 — 264 p. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic...
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Springer, 2019. — 129. — (Uncertainty and Operations Research). — ISBN 9811337284. This book gives a thorough and systematic introduction to the latest research results on hesitant fuzzy and its extensions decision making theory. It includes five chapters: Hesitant Fuzzy Set and its Extensions, Distance Measures for Hesitant Fuzzy Sets and Their Extensions, Similarity Measures for...
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CRC Press, 2010. — 295 p. Conventional fuzzy logic control developed in the 1970s to 1980s unfortunately suffers from a lack of tools for systematic stability analysis and controller design even though it has had great success in industrial applications. It has been recognized that conventional fuzzy logic control is fundamentally model free, which more or less is the essential...
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Morgan & Claypool Publishers, 2012. — 238 p. — ISBN-10 1608459713; ISBN-13 978-1608459711. Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving...
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Springer, 2007. — 296 p. — ISBN 978-3642088551 This book extends the theory of revealed preference to fuzzy choice functions, providing applications to multicriteria decision making problems. The main topics of revealed preference theory are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are...
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Springer, 2001. — 275 p. Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the "approximate reasoning" we use in everyday life, the object of investigation being the human aptitude to manage vague properties (as, for example, "beautiful", "small",...
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Springer, 2005. — 468 p. — ISBN 978-3642062216 In today’s increasingly complex and uncertain business environment, financial analysis is yet more critical to business managers who tackle problems of an economic or business nature. Knowledge based on formal logic and even experience becomes less sufficient. This volume systematically sets out the basic elements on which to base...
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Springer, 2006. — 480 p. — ISBN 978-3642067433 From a linguistic perspective, it is quanti?cation which makes all the di?- ence between “having no dollars” and “having a lot of dollars”. And it is the meaning of the quanti?er “most” which eventually decides if “Most Ame- cans voted Kerry” or “Most Americans voted Bush” (as it stands). Natural...
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Издательство InTech, 2011, -382 pp. Global technologies evolution triggered increasing complexity of applications developed both in industry and in the scientifi c research fi elds. Thus, many researchers concentrated their eff orts on providing simple and easy control algorithms to cope with the increasing complexity of the controlled systems. The main challenge of a control...
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Springer, 2001 — 269 p. This book presents a systematic treatment of deductive aspects and structures of fuzzy logic understood as many valued logic sui generis. Some important systems of real-valued propositional and predicate calculus are defined and investigated. The aim is to show that fuzzy logic as a logic of imprecise (vague) propositions does have well-developed formal...
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Springer, 2005. — 256 p. — ISBN: 9783540273172 Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction to...
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Boca Raton: CRC Press, 2016. — 251 p. Content: The algebra of truth values Properties of the type-2 truth value algebra Subalgebras of the type-2 truth value algebra Automorphisms T-norms and T-conorms Convex normal functions Varieties related to M Type-2 fuzzy sets and bichains Categories of fuzzy relations The finite case.
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Amsterdam: Springer, 2000 - 219p. Fuzzy logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focused approach to selected topics in Engineering and Management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider...
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N.-Y.: Springer, 2005. - 239p. Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our...
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New York, USA: Nova Science Publishers, Inc., 2018. — 175 p. — (Mathematics Research Developments). — ISBN-10 1536134147. Fuzzy Modeling and Control: Methods, Applications and Research opens by recommending a new fuzzy RANSAC algorithm based on the reinforcement learning concept to improve modeling performance under the outlier noise. The authors also propose a novel methodology...
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Springer, 2006. — 319 p. Soft Computing (SC) techniques constitute a synergy of methodologies (fuzzy logic, neural networks, probabilistic reasoning, rough-set theory, evolutionary computing and parts of machine learning theory) useful for solving problems requiring some form of intelligence. The basis of SC is its tolerance to imprecision, uncertainty, partial truth, and...
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Издательство Springer, 1995, -391 pp. Non-Classical Logics and their Applications to Fuzzy Subsets is the first major work devoted to a careful study of various relations between non-classical logics and fuzzy sets. This volume is indispensable for all those who are interested in a deeper understanding of the mathematical foundations of fuzzy set theory, particularly in...
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Oxford, UK: Alpha Science International Ltd., 2017. — 409 p. — ISBN 978-1-78332-281-7. Fuzzy Logic Models and Fuzzy Control: An Introduction provides basic and concrete concepts of fuzzy set theory, fuzzy logic models and fuzzy control. The first part from chapters 1 to 3 deals with fuzzy sets with arithmetic operations; fuzzy numbers with applications; fuzzy logic and its...
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Berlin: Springer, 2008. — 380 p. Most successful applications of modern science and engineering, from discovering the human genome to predicting weather to controlling space missions, involve processing large amounts of data and large knowledge bases. The ability of computers to perform fast data and knowledge processing is based on the hardware support for super-fast elementary...
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Prentice Hall, 1997. — 594 p. Examines past and present trends and future possibilities in large-scale systems, focusing on computer-assisted problem-solving. Addresses modeling and model reduction, optimum and near-optimum control, system properties, and the role of fuzzy systems in the model identification and control of large-scale systems. Concepts are presented with their...
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Atlantis Press, 2012. — 180 p. Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. It has been successfully applied to e.g. planning problems, configuration and verification of software, diagnosis and database repairs. However, ASP is not directly suitable for modeling problems with continuous domains. Such problems...
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Издательство John Wiley, 2013, -333 pp. This second edition of Foundations of Fuzzy Control includes newchapters on gain scheduling, fuzzy modelling and demonstration examples. Fuzzy gain scheduling is a straightforward extension of the usual PID type fuzzy controllers in the sense that fuzzy rules can interpolate naturally between PID controllers. Broadly speaking, the...
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Springer, 2017. — 274 p. This book offers a comprehensive introduction to cooperative game theory and a practice-oriented reference guide to new models and tools for studying bilateral fuzzy relations among several agents or players. It introduces the reader to several fuzzy models, each of which is first analyzed in the context of classical games (crisp games) and subsequently in...
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Springer, 2003. — 276. Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated...
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New York: Springer, 2018. — 149 p. This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book...
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Internet-Publication. — (Tutorial). 32 p. English. This is a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application (Part 1-6), by Steven D. Kaehler. This is the first in a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application. This article...
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New York: Springer, 2016. — 406 p. This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs,...
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Издательство Addison-Wesley, 1986, -289 pp. Since the publication of the now classic paper on Fuzzy Sets by Professor Lotfi A. Zadeh in 1965, the theory of fuzzy mathematics has gained more and more recognition from many researchers in a wide range of scientific fields. Like other theories that have broken away from tradition, the theories of fuzzy mathematics have been and...
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Springer, 1998. — 432. Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. The fuzzy boom in Japan, as well as in other parts of the world, has generated a host of products and techniques demonstrating superior performance to conventional products. It is precisely that superior...
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Springer, 1998. — 552 p. This book is a collection of some of the papers that were presented during a NATO Advanced Study Institute (ASI) on Soft Computing and Its Applications that was held in Manavgat, Antalya, Turkey, On 21-31 August 1996. The ASI had the goal of creating an opportunity for the engineers and the scientists working in the emerging field of soft computing (SC) to...
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Wiley-Interscience, John Wiley and Sons, 2001. — 305 p. ISBN 0471323241, 9780471323242. This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis,...
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New Jersey 07458, 1995. -561 pр. This book is a natural outgrowth of Fuzzy Sets, Uncertainty, and Information by George J. Klir and Tina A. Folger (Prentice Hall, 1988). It reflects the tremendous advances that have taken place in the areas of fuzzy set theory and fuzzy logic during the period 1988-1995. Captured in the book are not only theoretical advances in these areas,...
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Springer, 2009. — 280 p. — ISBN 978-3642100642 This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models.
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Prentice Hall, 1996. — 549 p. — ISBN: 0131249916, 9780131249912 This book is both a unified textbook and to some degree an edited volume. It aims at the college audience in engineering. Each chapter contains detailed homework problems though some of the later research chapters contain fewer problems than do earlier chapters. And each chapter fits in the larger topics scheme...
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Prentice-Hall International, Inc., 1991. — 477 p. — ISBN: 0136123341 This textbook joins together two techniques—neural networks and fuzzy systems—that seem at first quite different but that share the common ability to work well in this natural environment. Although there are other important reasons for interest in them, from an engineering point of view much of the interest in...
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Harmony Books, 1999. — 373 p. — ISBN: 0609604465 This book looks at such fuzzy or gray issues as they arise in the digital age. But just what do these terms mean? What is fuzzy? What is digital? The term fuzzy means shades of gray between 0% and 100%. Most concepts are fuzzy because they have inexact borders. There are no hard lines between water that is warm and not warm or...
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New York: Morgan & Claypool, 2017. — 66 p. Information retrieval used to mean looking through thousands of strings of texts to fnd words or symbols that matched a user’s query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfeld of computer science and shares some...
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Springer, 2006. — 260. Vague concepts are intrinsic to human communication. Somehow it would seems that vagueness is central to the flexibility and robustness of natural language descriptions. If we were to insist on precise concept definitions then we would be able to assert very little with any degree of confidence. In many cases our perceptions simply do not provide...
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Springer, 2006. — 260. Vague concepts are intrinsic to human communication. Somehow it would seems that vagueness is central to the flexibility and robustness of natural language descriptions. If we were to insist on precise concept definitions then we would be able to assert very little with any degree of confidence. In many cases our perceptions simply do not provide...
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Springer, 2005. — 335 p. 149 illus. — Series: Advances in Intelligent and Soft Computing. — ISBN: 9783540323662 This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications"...
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Academic Press, 1998. — 437 p. This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel...
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Издательство Academic Press, 1998, -1747 pp. Four-volume edition. Fuzzy theory is an interesting name for a method that has been highly effective in a wide variety of significant, real-world applications. A few examples make this readily apparent. As the result of a faulty design in the method of computer-programmed trading, the biggest stock market crash in history was triggered...
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Издательство CRC Press, 2000, -383 pp. Fuzzy systems and neural networks have been regarded as the main branches of soft computing. Most research works have been focused on the development of theories and design of systems and algorithms for specific applications. These works have shown that neuro-fuzzy systems indeed demonstrate their exceptional intelligent capability for...
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Kluwer Academic Pub, 1995. — 464 p. — ISBN: 0792395751, 9780792395751 International Series in Intelligent Technologies One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise...
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Springer, 2006. — 300 p. This book does not intend to – in fact, is not able to – give an in-depth explanation of the interactions or intrinsic relationships between fuzzy logic and chaos theory, but tries to provide some heuristic research achievements and insightful ideas to attract more attention on the topic. Although this book may raise more questions than it can provide...
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Berlin Heidelberg: Springer-Verlag. - 2006. - 625 p. With this book we attempt to present some current research progress and results on the interplay of fuzzy logic and chaos theory. More specifically, in this book we collect some state-of-the-art surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic...
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Springer, 2010. — 552 p. Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to find a best possible option or solution. It has been an important area of research for more than half a century, and particularly since the...
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Springer, 2004. — 327 p. The unrestrainable explosion of the world wide web is not bereft of troubles and drawbacks, especially for inexpert users. Therefore there is a strong need of new research approaches in term of theories and systems. The main objective of this book is to provide new tools and ideas to enhance the power of the internet and search engines. Among these new...
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Springer, 2000. — 278 p. In 1965, L.A. Zadeh introduced the concepts of a fuzzy subset of a set a way for representing uncertainty. Zadeh's ideas stirred researchers worldwide. His ideas have been applied to a wide range of scientific areas. Here we consider the area of mathematics which is normally known as discrete structures. Since texts on discrete structures cover a wide...
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Springer, 2008. — 352 p. The book co-authored by Eduardo Massad, Neli Ortega, Laécio Barros, and Cláudio Struchiner is a remarkable achievement. The book brings a major paradigm shift to medical sciences exploring the use of fuzzy sets in epidemiology and medical diagnosis arena. The volume addresses the most significant topics in the broad areas of epidemiology, mathematical...
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Издательство Atlantis Press, 2014, -291pp. Our motivation when enroling this project was to cover the lack of a book where most of the fuzzy modeling and control techniques, frequently used by European research groups, could be put together. Moreover, some chapters have been added in order to illustrate the application of these techniques in several scenarios. The book was...
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Boston: Academic Press, 1994. - 309 p. With the publication of this book we are beginning to see the emergence of the next phase of fuzzy logic. During this phase we will see the opening of the power of this methodology to middle-level technocrats. In addition, the focus of this book, rather than being strictly on engineering problems, provides a number of broader applications....
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Springer, 2017. — 108 p. This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making...
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Springer, 2007 — 830 p. Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (Book 4529) This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and...
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New York: Springer, 2018. — 415 p. This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at...
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Springer, 2018. — 416 p. We describe in this book recent advances on the use of fuzzy logic in design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is organized into nine main...
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Wiley, 2014. — 376 p. — ISBN: 1118278399, 9781118278390 Written by world–class leaders in type–2 fuzzy logic control, this book offers a self–contained reference for both researchers and students. The coverage provides both background and an extensive literature survey on fuzzy logic and related type–2 fuzzy control. It also includes research questions, experiment and...
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New York: Springer, 2017. — 696 p. The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to...
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Springer, 2016. — 380 p. The origins of this book are rooted back to the 1990s of the last century. In those times I was asked to prepare an introductory course on Fuzzy Logic for engineering students who were eager to take the fundamentals of the theory, especially from a practical approach. The students (already in their last year at the university) were certainly bored of...
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Springer, 2009. — 285 p. Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse areas such as fuzzy control, fuzzy databases, and fuzzy mathematics. This book provides an accessible and up-to-date introduction to this fast-growing and increasingly popular...
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Springer, 2018. — 248 p. — ISBN 981133076X. This book discusses the Tauberian conditions under which convergence follows from statistical summability, various linear positive operators, Urysohn-type nonlinear Bernstein operators and also presents the use of Banach sequence spaces in the theory of infinite systems of differential equations. It also includes the generalization of...
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Springer, 2018. — 248 p. — ISBN 981133076X. This book discusses the Tauberian conditions under which convergence follows from statistical summability, various linear positive operators, Urysohn-type nonlinear Bernstein operators and also presents the use of Banach sequence spaces in the theory of infinite systems of differential equations. It also includes the generalization of...
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Издательство Springer, 2000, -262 pp. In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work. Two very important and useful concepts are those of granularity and of nonlinear approximations. The concept of granularity has evolved as a cornerstone of Lotfi A.Zadeh's theory of perception, while...
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CRC, 2015. — 352 p. — ISBN 978-1482250985 Fuzzy social choice theory is useful for modeling the uncertainty and imprecision prevalent in social life yet it has been scarcely applied and studied in the social sciences. Filling this gap, Application of Fuzzy Logic to Social Choice Theory provides a comprehensive study of fuzzy social choice theory. The book explains the concept of a...
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Springer, 2010. — 234 p. When asked about whether a certain aspect is or is not adequate for instance, it is politically incorrect to give a sharp answer, i.e. it is or it is not adequate. A good politician would answer that the asped in question is adequate to some extent but it is al80 not adequate to another extent. So, if you want t.o be a successful politician, you ougbt...
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Chapman and Hall/CRC, 2003. — 306 p. Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding...
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Third Edition. — Chapman & Hall/CRC, 2005. — 436 p. This text is an introduction to the theory of fuzzy sets. Fuzzy sets are mathematical objects modeling the vagueness present in our natural language when we describe phenomena that do not have sharply defined boundaries. By using the concept of partial degrees of membership to give a mathematical definition of fuzzy sets, the...
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Wiley, 2016. — 269 p. — ISBN-10: 1119193184, ISBN-13: 978-1119193180. Provides a unique and methodologically consistent treatment of various areas of fuzzy modeling and includes the results of mathematical fuzzy logic and linguistics. This book is the result of almost thirty years of research on fuzzy modeling. It provides a unique view of both the theory and various types of...
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Springer, 1999. — 326 p. The book provides a systematic study of the formal theory of fuzzy logic. The book is based on logical formalism demonstrating that fuzzy logic is a well-developed logical theory. It includes the theory of functional systems in fuzzy logic, providing an explanation of what can be represented, and how, by formulas of fuzzy logic calculi. It also presents a...
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Springer, 2013. — 164 p. The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective. This objective could be achieved to some extent through early prediction of number of faults present in the software, which reduces the cost of development as it provides an opportunity to make early...
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Wiley, 2007. — 549 p. A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications...
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Springer, 2005. — 352 p. — ISBN 978-3642062643 The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our...
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Springer, 2016. — 247 p. This book presents fuzzy logic and LabVIEW FGPA for designing fuzzy logic controllers. This is a book for implementing fuzzy logic controllers in LabVIEW FPGAs. Despite the FPGA’s attractive features, their adoption by industrial control and signal processing engineers has been slower than processors and DSPs. This is due to several factors. First,...
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Springer, 2012. — 249 p. After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, Vector Control of Induction Machines introduces the standard mathematical models for induction machines – whichever rotor technology is used – as well as several squirrel-cage induction machine vector-control strategies. The use of...
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Wiley, 2016. — 580 p. — ISBN 9781119235866. The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated...
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Wiley, 2010. - 606 pages. The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total...
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Society for Industrial and Applied Mathematics, 2002, -434 pp. Probability theory and fuzzy logic are the principal components of an array of methodologies for dealing with problems in which uncertainty and imprecision play important roles. In relation to probability theory, fuzzy logic is a new kid on the block. As such, it has been and continues to be, though to a lesser...
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Рассмотрены основные вопросы теории нечетких множеств, нечеткой логики, принятия решений при нечеткой информации, а также вопросы нечеткого управления. USA, 2004
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Bejing: Beijing Normal University Press, 2000. - 522 p. This is the third volume of Collected Papers by Lotfi A.Zadeh. Granular Computing is an emerging conceptual and computational paradigm for information processing, which plays a fundamental role within the field of Computational Intelligence. It concerns representing and processing complex information entities called...
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Kluwer Academic Publishers, 2004. -294 pp. First, a bit of history. The concept of a neuro-fuzzy system is rooted in the pioneering work of H. Takagi and I. Hayashi, who in 1988 obtained a basic patent in Japan, assigned to Matsushita, describing a system in which techniques drawn from fuzzy logic and neural networks were used in combination to obtain superior performance....
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Springer, 2013. — 263 p. In 1975, Zadeh proposed Type-2 Fuzzy Sets (T2 FS) as an extension to the previously introduced ordinary fuzzy sets (now called type-1 fuzzy sets). Type-2 fuzzy sets have the ability to capture the uncertainty about membership functions of fuzzy sets through fuzzification of the membership function of type-1 fuzzy sets. Instead of using a single crisp...
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Springer, 2016. — 284 p. The book is a collection of contributions by leading experts, developed around traditional themes discussed at the annual Linz Seminars on Fuzzy Set Theory. The different chapters have been written by former PhD students, colleagues, co-authors and friends of Peter Klement, a leading researcher and the organizer of the Linz Seminars on Fuzzy Set Theory....
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Elsevier, 2006. — 489 p. These are exciting times in the fields of Fuzzy Logic and the Semantic Web, and this book will add to the excitement, as it is the first volume to focus on the growing connections between these two fields. This book is expected to be a valuable aid to anyone considering the application of Fuzzy Logic to the Semantic Web, because it contains a number of...
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Springer, 2008 — 478 p. Several theories consider the brain to be a network of neurons that process perception with simple activation functions. Real neurons, however, are far more intricate.Through reviews of literature and results from original experiments, Neural Cell Behavior and Fuzzy Logic offers a comprehensive look at these complex systems, supplying trustworthy...
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Springer, 2015. — 382 p. After the first fifty years from 1965, when Lotfi A. Zadeh published his famous and seminal paper ‘Fuzzy Sets’, an impressive path has been followed for the consolidation of the theories of fuzzy sets and fuzzy logic, as well as for their application to practical problems. In both the theoretical and the applied sides, and mainly in the second, relevant...
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CRC Press, 2010. — 354 p. The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow him to...
  • №136
  • 6,77 МБ
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Wiley-Interscience, 2004. - 538 pages. Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first,...
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Springer, 2013. — 416 p. When we want to achieve high effectiveness of intelligent decision support systems, the solution of problems pertaining to the identification, optimization, filtration, classification, etc., of the existing models of complex dynamic systems plays an important role. In dealing with complex objects, along with the classical methods of constructing their...
  • №138
  • 2,31 МБ
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Sage, 2006. — 97 p. — ISBN 978-0761929864 Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications in the Social Sciences provides a systematic, yet...
  • №139
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Издательство World Scientific, 2002, -355 pp. Since Lotfi Zadeh's introductory paper in 1965, the fuzzy set theory and the applications of fuzzy systems have come a long way. The initial hesitation, even the hostile reaction to fuzzy set theory has made way for enthusiasm, or at least tolerance for fuzzy systems. The successes of the practical application of fuzzy set theory in...
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  • 5,04 МБ
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Springer, 2013. — 314 p. It is well known that fuzzy sets can describe gradual properties, such as young or big, using functions for membership to sets. Fuzzy sets of type-2 are equipped with fuzzy membership functions, and hence are called fuzzyvalued fuzzy sets.Whilst fuzzy sets are used to model vagueness, fuzzy-valued fuzzy sets have the capacity to model the imprecision of...
  • №141
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Springer, 2004. — 352 p. Neurofuzzy and fuzzyneural techniques as tools of studying and analyzing complex problems are relatively new even though neural networks and fuzzy logic systems have been applied as computational intelligence structural elements for the last 40 years.Computational intelligence as an independent scientific field has grown over the years because of the...
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  • 3,00 МБ
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CRC Press, 2014. — 381 p. Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. The book provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main...
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Издательство Springer, 2014, -170 pp. Nowadays, computing is ubiquitous and pervasive. Many consumer products, like electronic and electric appliances and vehicles, are using some sort of computational device to ensure proper operation. At the same time, fuzzy set theory (roughly, the theory that claims that elements belong to sets to some degree) gains momentum as a basis for...
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Springer, 2015. — 684 p. — ISBN: 3319196820, 9783319196824, 9783319196831 Comprehensive and timely report on fuzzy logic and its applications Analyzes the paradigm shift in uncertainty management upon the introduction of fuzzy logic Edited and written by top scientists in both theoretical and applied fuzzy logic This book presents a comprehensive report on the evolution of...
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World Scientific Pub Co Inc, 2001 — 248 p. World Scientific Series in Robotics and Intelligent Systems , 25 This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new...
  • №146
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Springer, 2015. — 211 p. This book was thought as a non-conventional first course textbook in Fuzzy Logic for engineers ending with an introduction to one of the most fruitful topics arisen from it, Fuzzy Control. It is from the teaching’s strategy of the authors, summarized by “Nothing can substitute the own homework of the student” from which it comes its non-conventional...
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Kluwer, 1999. — 366 p. — ISBN 978-94-010-5893-3. Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering...
  • №148
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Springer, 2007. — 464 p. This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD dissertations from...
  • №149
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Springer, 2015. — 357 p. This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter...
  • №150
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Springer, 1992. — 357 p. The book consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its...
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IEEE Press, 2000, 310 pages, ISBN 0-7803-3497-3 This self-contained textbook is intended for anyone seeking to understand fuzzy control and modeling in the context of traditional control and modeling. It is also for anyone who is interested in analytical aspects of fuzzy control and modeling and wants to know precisely their connections with the classical counterparts. The...
  • №152
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Издательство Springer, 2015, -210 pp. This state-of-the-art book describes important advances in type-2 fuzzy systems that have been made in the past decade for real-world pattern recognition problems, such as speech recognition, handwriting recognition, and topic modeling. The success of type-2 fuzzy sets has been largely attributed to their three-dimensional membership...
  • №153
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Boston: Birkhäuser. – 2006. – 422 p. In the present book we concern ourselves exclusively with fuzzy modeling and fuzzy control. Fuzzy logic methodology has been proven to be effective for dealing with complex nonlinear systems with uncertainties that are otherwise difficult to model. Fuzzy rule-based technology has been applied to many practical applications, especially in...
  • №154
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М.: Наука. Гл. ред. физ-мат. лит., 1986. — 312 с. — (Проблемы искусственного интеллекта). Рассматривается применение аппарата теории нечетких множеств к таким областям математики, как теория матриц и отношений, логика, теории автоматов и алгоритмов, модели принятия решений и др. Описывается применение полученных формальных методов к кластерному анализу, распознаванию образов,...
  • №155
  • 2,70 МБ
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Розглянуті теоретичні та практичні питання з основ проектування та моделювання баз знань і систем підтримки прийняття рішень на основі нечіткої логіки. Особливість викладення матеріалу пов’язана з його практичною спрямованістю – основу посібника складають лабораторні роботи для різних моделей та процедур побудови прикладних комп’ютеризованих систем, основаних на знаннях. Приклади...
  • №156
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Рассмотрены методологические аспекты применения теории нечетких множеств для управления производством. Основное внимание уделено построению продукционных моделей и интеллектуализации процесса координации функционирования коллективов роботов, а также моделированию технологических процессов
  • №157
  • 2,75 МБ
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Коллективная монография. — М.: Физматлит, 2007. — 208 с. Книга посвящена современным подходам к математическому и компьютерному моделированию нечеткости. Рассмотрены операции нечеткой логики и их обобщения. Широко представлен контекст современной теории нечетких систем: синергетический искусственный интеллект, нечеткие нейронные и нечеткие эволюционные гибриды, возможностное...
  • №158
  • 2,38 МБ
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Казань: Отечество, 2001. – 100 с. Казанский государственный технологический университет. В книге рассматриваются свойства операций конъюнкции, дизъюнкции и отрицания нечеткой логики и определяемых ими операций пересечения, объединения и дополнения нечетких множеств. Предназначено для студентов, аспирантов и научных работников, специализирующихся в области мягких вычислений и...
  • №159
  • 1,52 МБ
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Казань: Отечество, 2001. - 100 с. В книге рассматриваются свойства операций конъюнкции, дизъюнкции и отрицания нечеткой логики и определяемых ими операций пересечения, объединения и дополнения нечетких множеств. В первой главе рассматриваются классические операции нечеткой логики, введенные Заде, и используются свойства алгебры Клини. Во второй главе изучаются инволютивные и...
  • №160
  • 661,95 КБ
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Интернет-публикация. 1997. — 14 стр. [Авторы: Peter Bauer, Stephan Nouak, Roman Winkler. Дата: 04.12.1996 (Ver. 1.2). Перевод: С.В. Кряжевских, 1997]. Нечеткая логика возникла как наиболее удобный способ построения систем управления метрополитенами и сложными технологическими процессами, а также нашла применение в бытовой электронике, диагностических и других экспертных системах....
  • №161
  • 76,68 КБ
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Интернет-публикация. 2006. — 19 стр. Понятие нечеткости интуитивно понятно каждому человеку, но его формализация всегда вызывала трудности. Долгое время считалось: все, что требуется для работы с неопределенностью, это теория вероятностей. Однако, по мере того, как в область наших интересов стали попадать вопросы, связанные с восприятием мира живыми существами и, в частности,...
  • №162
  • 416,40 КБ
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Монография. — Липецк: ЛЭГИ, 2002. — 111 с. Файл очень хорошего качества. Книга содержит изложение основных понятий нечеткой логики, применяющихся при решении широкого класса прикладных задач, связанных с теорией нечетких реляционных уравнений, нечетких нейронных сетей, методами принятия решений в условиях неопределенности. Операции на единичном интервале Нечёткие...
  • №163
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Липецк: Липецкий эколого-гуманитарный институт, 2002. - 111 с. В монографии рассмотрены алгебраические основы нечеткой логики и возможные приложения. Книга содержит изложение основных понятий нечеткой логики, применяющихся при решении широкого класса прикладных задач, связанных с теорией нечетких реляционных уравнений, нечетких нейронных сетей, методами принятия решений в...
  • №164
  • 1,24 МБ
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В монографии рассмотрены алгебраические основы нечеткой логики и возможные приложения. Книга содержит изложение основных понятий нечеткой логики, применяющихся при решении широкого класса прикладных задач, связанных с теорией нечетких реляционных уравнений, нечетких нейронных сетей, методами принятия решений в условиях неопределенности. Предназначена для специалистов в области...
  • №165
  • 984,77 КБ
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Рига: Зинатне, 1982. — 256 с. Книга посвящена вопросам построения и исследования моделей принятия решений в условиях физической и лингвистической неопределённостей на основе теории нечётких множеств.
  • №166
  • 7,13 МБ
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М.: Радио и связь, 1989. - 304 с. Монография посвящена вопросам обработки информации в системах принятия решений, создаваемых на базе универсальных ЭВМ. Данные системы применяются при управлении технологическими объектами, в САПР, в технической диагностике и разрабатываются как составная часть экспертных систем. Одним из источников информации в таких системах являются...
  • №167
  • 3,21 МБ
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М.: Радио и связь, 1989. — 304 с. Монография посвящена вопросам обработки информации в системах принятия решений, создаваемых на базе универсальных ЭВМ. Данные системы применяются при управлении технологическими объектами, в САПР, в технической диагностике и разрабатываются как составная часть экспертных систем. Одним из источников информации в таких системах являются...
  • №168
  • 15,32 МБ
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М.: Горячая линия - Телеком, 2007. -284 с. Книга посвящена исследованию нечетких моделей, используемых для описания, анализа и моделирования сложных слабо формализуемых систем и процессов, а также вопросам построения, обучения и использования, во-первых, нечетких нейронных сетей, реализующих нечеткие продукционные, реляционные и функциональные модели, во-вторых, нейронных...
  • №169
  • 2,79 МБ
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2-е изд., стереотип. — М.: Горячая линия–Телеком, 2012. — 284 c. Книга посвящена исследованию нечетких моделей, используемых для описания, анализа и моделирования сложных слабо формализуемых систем и процессов, а также вопросам построения, обучения и использования, во-первых, нечетких нейронных сетей, реализующих нечеткие продукционные, реляционные и функциональные модели,...
  • №170
  • 10,96 МБ
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Учебное пособие. Спб, Из-во ГУАП, 2010. 237с. Нечеткие множества. Нечеткая логика. Нечеткие регуляторы. Синтез нечетких правил из данных. Структура Fuzzy Logic Toolbox.
  • №171
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Конспект лекцій. — Харкiв: Харківський національний автомобільно-дорожній університет (ХНАДУ), 2017. — 45 с. Нечітка логіка Поняття нечіткої множини. Функції належності. Операції над нечіткими множинами Нечіткі числа Нечіткі бінарні відношення та відповідності Поняття лінгвістичної змінної Нечіткі булеві змінні. Аналіз функцій нечіткої логіки Нечіткі моделі в технічних задачах...
  • №172
  • 319,64 КБ
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Минск : Технопринт, 2004. — 219 с. — ISBN 985-464-529-0. Книга nосвящена рассмотрению современного состояния нечётких методов автоматической классификации. Приводятся onиcaния наиболее известных нечетких кластер-процедур и результатов вычислительных экспериментов . Предназначена для научных и инженерно-технических работников, nроводящих исследования в областях прикладной...
  • №173
  • 3,55 МБ
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Монография. — Минск : Технопринт, 2004. — 219 с. — ISBN 985-464-529-0. Книга nосвящена рассмотрению современного состояния нечётких методов автоматической классификации. Приводятся onиcaния наиболее известных нечетких кластер-процедур и результатов вычислительных экспериментов . Предназначена для научных и инженерно-технических работников, nроводящих исследования в областях...
  • №174
  • 18,76 МБ
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Москва, 2011. — 115 с. В монографии рассматриваются три последовательных процесса работы со знаниями — получение, представление и обработка, причём акцент сделан на так называемых НЕ-факторах, то есть факторах неопределённости, которые обычно присутствуют в знаниях экспертов. Приводится обзор современных методов, подходов и технологий извлечения, представления и обработки таких...
  • №175
  • 2,35 МБ
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Учебное пособие. — М.: Аргамак-Медиа, 2014. — 341 с. Проектирование систем искусственного интеллекта является одним из наиболее важным направлением современной информатики. Область применения искусственного интеллекта широка и разнообразна. В данный момент средства искусственного интеллекта успешно используются в системах распознавания изображений и речи, при управлении сложными...
  • №176
  • 8,63 МБ
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Тбилиси: "Мецниереба", 1988. - 71 с. В монографии выделен и формально описан класс нечетких многокритериальных задач принятия решений. Задачи описываются векторным нечетким отношением предпочтения. Для этих задач введено множество Парето, определена эффективность процедур выбора. Изучены на Парето-эффективность различные свертки векторного нечеткого отношения предпочтения....
  • №177
  • 1,31 МБ
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М.: Мир, 1976. — 167 с. — (Математика. Новое в зарубежной науке. Выпуск 3). Книга от основоположника теории нечетких множеств и нечеткой логики. Книга посвящена новому математическому аппарату для изучения ситуаций, столь сложных или неопределенных, что они не поддаются точному количественному описанию. Вводится понятие «нечеткого» множества и лингвистической переменной,...
  • №178
  • 2,18 МБ
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Перевод с английского Н.И. Ринго. Под редакцией Н.Н. Моисеева и С.А. Орловского. — М.: Мир, 1976. — 167 с. — (Математика. Новое в зарубежной науке. Выпуск 3). Книга от основоположника теории нечетких множеств и нечеткой логики. Книга посвящена новому математическому аппарату для изучения ситуаций, столь сложных или неопределенных, что они не поддаются точному количественному...
  • №179
  • 10,92 МБ
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Книга одного из основоположников теории нечетких множеств. Содержит описание нового подхода к представлению знаний в системах искусственного интеллекта. Многостраничный TIFF - читать в ACDSee.
  • №180
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Учебное пособие для студентов высших учебных заведений. — Киев: Слово, 2008. — 344 с. — ISBN 978-966-8407-79-6. Книга посвящена одному из направлений в области искусственного интеллекта системам с нечёткой логикой и нечётким нейронным сетям и их применению в различных практических задачах. Описан сравнительно новый метод индуктивного моделирования. Рассмотрены многочисленные...
  • №181
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Информационные технологии. 2006. № 2. С. 14-18. Рассмотрены два подхода к самоорганизации базы правил систем нечеткого логического вывода, использующие, соответственно методы сокращения и дополнения правил. Приведены соотношения для минимального и максимального числа правил в зависимости от имеющегося объема экспериментальных данных и размерности задачи. Указаны достоинства и...
  • №182
  • 285,95 КБ
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СПб.: БХВ-Петербург, 2005. - 736 с: ил. В книге рассматриваются основы нечеткого моделирования - нового направления применения наукоемких технологий для решения практических задач. Подробно описываются базовые понятия теории нечетких множеств и нечеткой логики, необходимые для построения нечетких моделей систем в технике и экономике (в т. ч. бизнесе). Исследуются особенности...
  • №183
  • 20,52 МБ
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Приведены основные понятия теории нечетных множеств и описание нечетной экспертной информации в виде формальных систем нечетких высказываний. Предложены нечеткие модели принятия решений на трудно формализуемых этапах проектирования, основанные на правилах дедуктивного и индуктивного выводов. Рассмотрены нечеткие неориентированные и ориентированные гиперграфы как...
  • №184
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Излагаются методы разработки, проектирования и создания программно- аппаратного обеспечения советующих систем, функционирующих на основе нечетких ситуационных алгоритмов обработки информации. Рассматриваются два типа нечетких моделей, используемых при построении советующих систем: "ситуация - действие" и "ситуация - стратегия управления - действие". Дается классификация...
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  • 4,21 МБ
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М., Наука, 1990 г. - 272 с. Излагаются методы разработки, проектирования и создания программно-аппаратного обеспечения советующих систем, функционирующих на основе нечетких ситуационных алгоритмов обработки информации. Рассматриваются два типа нечетких моделей, используемых при построении советующих систем: "ситуация - действие" и "ситуация - стратегия управления - действие"....
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СПб: 2002. Аннотация Монография посвящена применению теории нечетких множеств к задачам управления финансами и, в частности, анализу инвестиций на рынке ценных бумаг. Рассматриваются вопросы оценки риска банкротства эмитента, проектного риска прямых инвестиций , риска вложений в акции, облигации, опционы и их комбинации. Приводится методика оценки инвестиционной...
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СПб: 2003. Аннотация Монография посвящена специфике управления фондовыми активами в условиях существенной информационной неопределенности. Рассматриваются теоретические предпосылки оптимального инвестирования на уровне модельного и реального фондовых портфелей, авторские методики рейтинга акций и скоринга облигаций, приводятся расчетные данные и примеры оптимального...
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Пер с англ.; Под ред. Аверкина А.Н. — М.: Физматлит, 2006. — 352 с. — ISBN 5-9221-0399-7. Эта книга – первое российское издание, в котором нечеткая логика представлена с позиций формального дедуктивного исчисления. Специфика нечеткости отражена в выборе решеточной структуры истинностных значений, обогащенной алгебраическими операциями. Возникающая при этом логическая алгебра,...
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Пер с англ.; Под ред. Аверкина А.Н. — М.: Физматлит, 2006. — 352 с. — ISBN 5-9221-0399-7. Эта книга – первое российское издание, в котором нечеткая логика представлена с позиций формального дедуктивного исчисления. Специфика нечеткости отражена в выборе решеточной структуры истинностных значений, обогащенной алгебраическими операциями. Возникающая при этом логическая алгебра,...
  • №190
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Интернет-публикация. Год издания не известен. — 12 стр. [BaseGroup Labs. Технология анализа данных]. Приводится краткое описание истории возникновения нечеткой логики, излагаются математические основы теории нечетких множеств и рассматривается схема нечеткого вывода по Мамдани. В конце рассказано о влиянии нечеткой логики на развитие методов и алгоритмов анализа данных....
  • №191
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М.: Бином. Лаборатория знаний, 2009. - 798с.: ил. Дается развернутое введение в проблемы нечеткого и нейронечеткого моделирование применительно к задаче управления системами. Материал основан на новейших результатах в данной области и иллюстрируется многочисленными примерами. Для специалистов в области нечеткого и нейронечеткого моделирования и управления, а также студентов и...
  • №192
  • 18,31 МБ
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М.: Бином. Лаборатория знаний, 2009. — 798 с.: ил. Дается развернутое введение в проблемы нечеткого и нейронечеткого моделирование применительно к задаче управления системами. Материал основан на новейших результатах в данной области и иллюстрируется многочисленными примерами. Для специалистов в области нечеткого и нейронечеткого моделирования и управления, а также студентов и...
  • №193
  • 16,38 МБ
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Учебное пособие. — М.: Издательство МГТУ им. Н.Э. Баумана, 2008. —216 с. ISBN 978-5-7038-3030-7 В пособии представлена методология экономико-математического моделирования задач принятия решений на предприятиях в условиях неопределенности. Рассмотрены инструментальные методы решения задач менеджмента на базе качественных измерений средствами теории нечетких множеств. Для типовых...
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Монография. - Винница: "Універсум-Вінниця", 1999. - 295 с. Введение в интеллектуальные технологии Нечеткие множества Генетические алгоритмы Нейронные сети Методологические аспекты Лингвистические правила в принятии решений Принятие решений и идентификация Принципы лингвистического моделирования Лингвистическая аппроксимация Формализация исходной информации...
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Учебное пособие. — М.: МАИ, 2007. — 96 с. В пособии рассматриваются основные понятия теории нечетких множеств, нечетких отношений и нечеткой логики, которые изучаются в курсе "Дискретная математика". Рассматриваемые понятия используются также в различных специальных учебных курсах, в которых изучаются методы интеллектуальных прикладных систем для технических и экономических...
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  • 10,19 МБ
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Учебное пособие. — М.: МАИ, 2007. — 96 с. В пособии рассматриваются основные понятия теории нечетких множеств, нечетких отношений и нечеткой логики, которые изучаются в курсе "Дискретная математика". Рассматриваемые понятия используются также в различных специальных учебных курсах, в которых изучаются методы интеллектуальных прикладных систем для технических и экономических...
  • №197
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Издательство ЦПИ при механико–математическом факультете МГУ, г. Москва, 2004. - 96 с. В работе рассматриваются вопросы поиска информации в нечеткой среде. Под средой поиска информации понимается пара запрос, база данных. Рассматриваются варианты, когда запрос и/или база данных могут быть четкими или нечеткими. Приводятся и исследуются математические модели описания человеком...
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  • 537,15 КБ
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М.: Мир, 1993г. - 368с. В книге японских специалистов изложены особенности построения нечетких систем. Рассмотрены проблемы распознавания звуковых и зрительных образов, построение нечетких компьютеров и нечетких экспертных систем. Особое внимание уделено применению этих систем в управлении промышленными объектами и в бизнесе. Приведено много интересных и новых результатов...
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  • 2,18 МБ
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М.: Мир, 1993г. - 368с. В книге японских специалистов изложены особенности построения нечетких систем. Рассмотрены проблемы распознавания звуковых и зрительных образов, построение нечетких компьютеров и нечетких экспертных систем. Особое внимание уделено применению этих систем в управлении промышленными объектами и в бизнесе. Приведено много интересных и новых результатов...
  • №200
  • 11,47 МБ
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Монография. – Смоленск: СФРУК, 2013. – 153 с.: ил. В монографии рассматриваются методы синтеза регуляторов для одного класса систем автоматического управления, отличительной особенностью которого является представление объекта управления базой знаний в виде нечетких продукционных правил – нечеткой моделью. Оглавление: . Введение. Системы c нечеткими моделями объектов...
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Монография. – Смоленск: СФРУК, 2013. – 161 с.: ил. В монографии рассматриваются разработанные методы анализа и синтеза нечетких супервизорных систем управления, а также их практическое применение. Содержание: . Введение . Состояние научных исследований в области анализа и синтеза нечетких супервизорных САУ . Системы управления с нечеткой логикой. Обзор научных работ,...
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Смоленск: Смоленская городская типография, 2003. -31 с. Глава 3 Применение нечеткой логики и экспертных систем в задачах управления Системы управления на основе методов нечеткой логики Регуляторы на основе нечетких нейронных сетей Применение экспертных систем в системах управления Выводы по обзору литературных источников Литература к главе 3
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Монография. — Смоленск: СГТ, 2003. — 177 с.: ил. Книга посвящена применению современных информационных технологий в системах управления. Рассмотрены методы анализа и синтеза систем управления с нечеткой логикой. Книга рассчитана на специалистов в области теории управления, аспирантов и студентов старших курсов технических университетов. Содержание: Введение....
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М.: Горячая Линия - Телеком, 2004.- 143 с. Книга посвящена применению современных информационных технологий в системах управления. Рассмотрены методы анализа и синтеза систем управления с нечеткой логикой, а также практические примеры применения интеллектуальных технологий управления. Для специалистов в области теории управления, аспирантов и студентов старших курсов технических...
  • №205
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Учебно-методическое пособие предназначено для изучения принципов построения систем нечеткого вывода. Пособие содержит краткие сведения по теории нечетких множеств, задание на лабораторную работу и порядок ее выполнения.
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Материалы сайта http://matlab.exponenta.ru/fuzzylogic/index.php. Автор Штовба С.Д. Введение Основные термины и определения Свойства нечетких множеств Операции над нечеткими множеств Нечеткая арифметика Нечеткие отношения и их свойства Операции над нечеткими отношениями Нечеткая логика Структура Fuzzy Logic Toolbox Построение нечетких систем в диалоговом режиме с помощью модуля...
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Учебное пособие. - М.: Финансы и статистика, 2004. - 320 с: ил. Рассматриваются методы анализа и синтеза при проектировании прикладных интеллектуальных систем для экономических и технических областей применения. Даются основы теории нечётких систем, нейронных сетей и генетических алгоритмов. Особое внимание уделяется структурам гибридных сетей и алгоритмам обучения нечётких...
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М.: Интернет-Университет Информационных Технологий; БИНОМ. Лаборатория знаний, 2006. — 316 с. Двумя популярными направлениями Artificial Intelligence являются теория нечетких множеств (fuzzy sets) и теория нейронных сетей (neuron nets). Данный курс является систематизированным вводным курсом в эти два направления. Курс ориентирован на студентов высших учебных заведений,...
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  • 4,76 МБ
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Интернет-Университет Информационных Технологий; БИНОМ. Лаборатория знаний, 2006. — 316 с: ил., табл. — (Серия «Основы информационных технологий») Двумя популярными направлениями Artificial Intelligence являются теория нечетких множеств (fuzzy sets) и теория нейронных сетей (neuron nets). Данный курс является систематизированным вводным курсом в эти два направления.
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