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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010132718 | QA76.87 N486 2006 | Open Access Book | Book | Searching... |
Searching... | 30000010134853 | QA76.87 N4844 2006 | Open Access Book | Book | Searching... |
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Summary
Summary
A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications.
New in the Third Edition:
A section on type-2 fuzzy sets - a topic that has received much attention in the past few years
Additional material on copulas and t-norms
More discussions on generalized modus ponens and the compositional rule of inference
Complete revision to the chapter on possibility theory
Significant expansion of the chapter on fuzzy integrals
Many new exercises
With its comprehensive updates, this new edition presents all the background necessary for students and professionals to begin using fuzzy logic in its many-and rapidly growing- applications in computer science, mathematics, statistics, and engineering.
Reviews 1
Choice Review
Fuzzy logic is a fascinating and new approach to knowledge representation and manipulation. Although the pioneering work dates back to the 1960s, recent development in soft computing has sparked much interest in the theory and application of fuzzy logic. Nguyen and Walker have prepared an excellent introductory work to fuzzy logic and fuzzy systems. They provide a gentle approach to the subject, requiring of the reader only minimum basic college calculus for understanding. Each concept is introduced with many numerical examples to further understanding, and there are a great number of chapter exercises (solutions to many of these are also provided). This easy-to-read book lays the groundwork for further study by including fundamental concepts related to fuzzy sets, fuzzy connectives, fuzzy relations, possibility theory, fuzzy measure, and fuzzy modeling. All levels. J. Y. Cheung University of Oklahoma
Table of Contents
| The Concept of Fuzziness |
| Some Algebra of Fuzzy Sets |
| Fuzzy Quantities |
| Logical Aspects of Fuzzy Sets |
| Basic Connectives |
| Additional Topics on Connectives |
| Fuzzy Relations |
| Universal Approximation |
| Possibility Theory |
| Partial Knowledge |
| Fuzzy Measures |
| Fuzzy Integrals |
| Fuzzy Modeling and Control |
| Bibliography |
| Answers to Selected Exercises |
| Index |
| NTI/Sales Copy |
