The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them.
The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra.

An Introduction to Fuzzy Sets: Analysis and Design (Complex Adaptive Systems)

Computers & Technology

Pedrycz, Witold

Gomide, Fernando

Computer Science

Bradford Books

Data Mining (Lecture Notes in Physics)

Science & Math

Cios, Krzysztof J.

Swiniarski, Roman W.

Physics

Springer

Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria factors encountered in the design, planning, and control of complex systems. Including all prerequisite knowledge and augmenting some parts with a step-by-step explanation of more advanced concepts, the authors provide a systematic and comprehensive presentation of the concepts, design methodology, and detailed algorithms. These are supported by many numeric illustrations and a number of application scenarios to motivate the reader and make some abstract concepts more tangible. Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications will appeal to a wide audience of researchers and practitioners in disciplines where decision-making is paramount, including various branches of engineering, operations research, economics and management; it will also be of interest to graduate students and senior undergraduate students in courses such as decision making, management, risk management, operations research, numerical methods, and knowledge-based systems.

Fuzzy Multicriteria Decision-Making: Models, Methods and Applications

Engineering & Transportation

Ekel, Petr

Parreiras, Roberta

Engineering

wiley

Peters and Pedrycz have written the first comprehensive and complete text on a quantitative approach to Software Engineering. This book provides the reader with well-defined and carefully described software practices based on industry standards. It presents practical approaches to specifying, designing and testing software as well as the foundations of Software Engineering. Frameworks, methods and technologies in aid of the activities typically found in software projects, are thoroughly presented. This book includes a complete case study representing all of the major phases in software development.
Emphasizing both the design and analysis of the technology, Peters and Pedrycz have created a highly balanced introduction to Software Engineering. This text provides students with a holistic look at software design by encouraging them to view the process as an interplay between hardware and software. The reader will also find the latest information in the field, frequent references to related web sites, a glossary of technical terms and acronyms, and supplementary material at the authors' web site.
This text is suitable for a one semester, junior/senior undergraduate course in Software Engineering.

Software Engineering: An Engineering Approach (Worldwide Series in Computer Science)

Peters, James F.

Programming

<ul>
<li>A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics</li> <li>Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible</li> <li>Includes illustrative material andwell-known experimentsto offer hands-on experience</li> </ul>

Knowledge-Based Clustering: From Data to Information Granules

Wiley-Interscience

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 have emerged. Now, this reader-friendly book presents an up-to-date approach to fuzzy systems engineering, covering concepts, design methodologies, and algorithms coupled with interpretation, analysis, and underlying engineering knowledge. The result is a holistic view of fuzzy sets as a fundamental component of computational intelligence and human-centric systems.  Throughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.

Fuzzy Systems Engineering: Toward Human-Centric Computing

Wiley-IEEE Press

Presents the state of the art in fuzzy control and fuzzy systems, with emphasis on the role of fuzzy sets in control engineering. Provides background to fuzzy sets, the concept of fuzzy control, and fuzzy controllers, with examples of applications. Describes properties and extensions of the fuzzy controller; description, identification, and validation of models; and determination of control algorithms. Also considers the decision process in terms of fuzzy relational equations and solution of problems via fuzzy numbers.

Fuzzy Control and Fuzzy Systems (Control Theory and Applications Research Studies Series)

Presents extensive and updated material concerned with the methodology and algorithms of fuzzy sets considered mainly in the context of control engineering and system modeling and analysis. Offers information on fuzzy sets and the concept of fuzzy control, reviewing selected applications and their origin. Discusses design aspects and theoretical developments in the design of fuzzy controllers. Includes comprehensive coverage of the paradigms and algorithms of fuzzy modeling.

Research Studies Press

It took many decades for Peirce's coneept of a relation to find its way into the microelectronic innards of control systems of eement kilns, subway trains, and tunnel-digging machinery. But what is amazing is that the more we leam about the basically simple coneept of a relation, the more aware we become of its fundamental importanee and wide ranging ramifications. The work by Di Nola, Pedrycz, Sanchez, and Sessa takes us a long distanee in this direction by opening new vistas on both the theory and applications of fuzzy relations - relations which serve to model the imprecise coneepts which pervade the real world. Di Nola, Pedrycz, Sanchez, and Sessa focus their attention on a eentral problem in the theory of fuzzy relations, namely the solution of fuzzy relational equations. The theory of such equations was initiated by Sanchez in 1976, ina seminal paper dealing with the resolution of composite fuzzy relational equations. Sinee then, hundreds of papers have been written on this and related topics, with major contributions originating in France, Italy, Spain, Germany, Poland, Japan, China, the Soviet Union, India, and other countries. The bibliography included in this volume highlights the widespread interest in the theory of fuzzy relational equations and the broad spectrum of its applications.

Fuzzy Relation Equations and Their Applications to Knowledge Engineering (Theory and Decision Library D:, 3)

Sanchez, E.

Di Nola, Antonio

Sessa, S.

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)

Reference

See the best price to sell, buy, or rent books by Pedrycz, Witold. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Pedrycz, Witold

See the best price to sell, buy, or rent books by Pedrycz, Witold. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

An Introduction to Fuzzy Sets: Analysis and Design (Complex Adaptive Systems)

Data Mining (Lecture Notes in Physics)

Fuzzy Multicriteria Decision-Making: Models, Methods and Applications

Software Engineering: An Engineering Approach (Worldwide Series in Computer Science)

Knowledge-Based Clustering: From Data to Information Granules

Fuzzy Systems Engineering: Toward Human-Centric Computing

Fuzzy Control and Fuzzy Systems (Control Theory and Applications Research Studies Series)

Fuzzy Control and Fuzzy Systems (Control Theory and Applications Research Studies Series)

Fuzzy Relation Equations and Their Applications to Knowledge Engineering (Theory and Decision Library D:, 3)

Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)