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First Course in Fuzzy Logic

Hung T. Nguyen | Carol Walker | Elbert A. Walker
€173.60
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A01=Carol Walker
A01=Elbert A. Walker
A01=Hung T. Nguyen
Age Group_Uncategorized
Age Group_Uncategorized
Archimedean T-norm
Author_Carol Walker
Author_Elbert A. Walker
Author_Hung T. Nguyen
automatic-update
B And A?
Belief Functions
Binary Operation
Boolean Algebra
Bounded Distributive Lattice
Category1=Non-Fiction
Category=PBKJ
Category=PBT
Category=UYQN
Choquet Integral
Computer language
Continuous T-norm
COP=United Kingdom
copulas dependence modelling
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Equivalence Relation
fuzzy control system design
Fuzzy Controller
Fuzzy Equivalence Relation
Fuzzy logic
Fuzzy Measure
Fuzzy Numbers
Fuzzy Partition
Fuzzy Quantities
Fuzzy Relation
Fuzzy Sets
Fuzzy Subset
Intelligent systems
interval-valued logic
Kleene Algebra
Language_English
Linguistics variables
Many-valued logic
mathematical modelling
Membership Functions
PA=Available
Price_€100 and above
Probability Measures
Propositional Calculus
PS=Active
quantum probability applications
Random Set
softlaunch
t-norms
type-2 fuzzy sets

Product details

  • ISBN 9781138585089
  • Weight: 822g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Nov 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Description

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.

About Carol Walker | Elbert A. Walker | Hung T. Nguyen
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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