Fuzzy logic with engineering applications / Timothy J. Ross, University of New Mexico, USA.
Material type:
TextPublisher: Southern Gate, Chichester, West Sussex, United Kingdom : Wiley, 2017Edition: Fourth editionDescription: xviii, 562 pages : illustrations ; 25 cmContent type: - text
- unmediated
- volume
- 9781119235866 (pbk.)
- TA 331 .R733 2017
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
Graduate Studies
|
DLSU-D GRADUATE STUDIES Graduate Studies | TA 331 .R733 2017 (Browse shelf(Opens below)) | Available | 3CIR201766222 |
Includes bibliographical references and index.
Classical sets and fuzzy sets -- Classical relations and fuzzy relations -- Properties of membership functions, fuzzification, and defuzzification -- Logic and fuzzy systems -- Historical methods of developing membership functions -- Automated methods for fuzzy systems -- Fuzzy systems simulation -- Decision making with fuzzy information -- Fuzzy classification and pattern recognition -- Fuzzy control systems -- Applications of fuzzy systems using miscellaneous models -- Monotone measures : belief, plausibility, probability, and possibility.
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 material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems.
Key features:
New edition of the popular textbook with 15% of new and updated material.
Includes new examples and end-of-chapter problems.
Has been made more concise with the removal of out of date material.
Covers applications of fuzzy logic to engineering and science.
Accompanied by a website hosting a solutions manual and software.
The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.
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