Hardcover. 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 economicsWith its comprehensive updates, this new edition presents all the background necessary for students, instructors and professionals to begin using fuzzy logic in its manyapplications 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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D�tails bibliographiques

Titre

A First Course in Fuzzy Logic (Hardcover)

�diteur

Taylor & Francis Ltd, London

Date de parution

2018

Langue

anglais

ISBN � 10 chiffres

1138585084

ISBN � 13 chiffres

9781138585089

Reliure

Hardcover

�dition

4�me �dition

�tat de l'article

new

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Synopsis

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.

� propos de l?auteur

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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