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Computer Science - Artificial Intelligence | An Introduction to Fuzzy Logic and Fuzzy Sets

An Introduction to Fuzzy Logic and Fuzzy Sets

Buckley, James J., Eslami, Esfandiar

2002, X, 285 p.

A product of Physica Verlag Heidelberg
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This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.

Content Level » Graduate

Keywords » algorithms - cognition - fuzzy - fuzzy logic - fuzzy system - genetic algorithm - genetic algorithms - image processing - logic - modeling - operations research - optimization - pattern recognition - sets - system modeling

Related subjects » Applications - Artificial Intelligence - Computational Intelligence and Complexity - Mathematics

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