A First Course in Fuzzy Logic

Hung T. Nguyen (New Mexico State University, Las Cruces, USA), Carol Walker, Elbert A. Walker (New Mexico State University, Las Cruces, USA)

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English

Chapman & Hall/CRC
21 January 2023

Differential calculus & equations; Probability & statistics; Neural networks & fuzzy systems

Series: Textbooks in Mathematics

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic.

This popular text offers 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 Fourth Edition:

Features new results on fuzzy sets of type-2

Provides more information on copulas for modeling dependence structures

Includes quantum probability for uncertainty modeling in social sciences, especially in economics

With its comprehensive updates, this new edition presents all the background necessary for students, instructors and professionals to begin using fuzzy logic in its many—applications in computer science, mathematics, statistics, and engineering.

About the Authors:

Hung T. Nguyen is a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. He is also an Adjunct Professor of Economics at Chiang Mai University, Thailand.

Carol L. Walker is also a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University.

Elbert A. Walker is a Professor Emeritus, Department of Mathematical Sciences, New Mexico State University.

By: Hung T. Nguyen (New Mexico State University Las Cruces USA), Carol Walker, Elbert A. Walker (New Mexico State University, Las Cruces, USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Edition: 4th edition
Dimensions: Height: 234mm, Width: 156mm,
Weight: 880g
ISBN: 9781032475943
ISBN 10: 1032475943
Series: Textbooks in Mathematics
Pages: 458
Publication Date: 21 January 2023
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

The Concept of Fuzziness Examples. Mathematical modeling. Some operations on fuzzy sets. Fuzziness as uncertainty. Some Algebra of Fuzzy Sets Boolean algebras and lattices. Equivalence relations and partitions. Composing mappings. Isomorphisms and homomorphisms. Alpha-cuts. Images of alpha-level sets. Fuzzy Quantities Fuzzy quantities. Fuzzy numbers. Fuzzy intervals. Logical Aspects of Fuzzy Sets Classical two-valued logic. A three-valued logic. Fuzzy logic. Fuzzy and Lukasiewicz logics. Interval-valued fuzzy logic. Basic Connectives t-norms. Generators of t-norms. Isomorphisms of t-norms. Negations. Nilpotent t-norms and negations. T-conforms. De Morgan systems. Groups and t-norms. Interval-valued fuzzy sets. Type-2 fuzzy sets. Additional Topics on Connectives Fuzzy implications. Averaging operators. Powers of t-norms. Sensitivity of connectives. Copulas and t-norms. Fuzzy Relations Definitions and examples. Binary fuzzy relations. Operations on fuzzy relations. Fuzzy partitions. Fuzzy relations as Chu spaces. Approximate reasoning. Approximate reasoning in expert systems. A simple form of generalized modus ponens. The compositional rule of inference. Universal Approximation Fuzzy rule bases. Design methodologies. Some mathematical background. Approximation capability. Possibility Theory Probability and uncertainty. Random sets. Possibility measures. Partial Knowledge Motivations. Belief functions and incidence algebras. Monotonicity. Beliefs, densities, and allocations. Belief functions on infinite sets. Mobius transforms of set-functions. Reasoning with belief functions. Decision making using belief functions. Rough sets. Conditional events. Fuzzy Measures Motivation and definitions. Fuzzy measures and lower probabilities. Fuzzy measures in other areas. Conditional fuzzy measures. The Choquet Integral The Lebesgue integral. The Sugeno integral. The Choquet integral. Fuzzy Modeling and Control Motivation for fuzzy control. The methodology of fuzzy control. Optimal fuzzy control. An analysis of fuzzy control techniques.

Hung T. Nguyen is a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. He is also an Adjunct Professor of Economics at Chiang Mai University, Thailand. Carol L. Walker is also a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. Elbert A. Walker is a Professor Emeritus, Department of Mathematical Sciences, New Mexico State University.