A First Course in Fuzzy Logic
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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-2Provides more information on copulas for modeling dependence structuresIncludes quantum probability for uncertainty modeli...
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.
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.
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