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Fuzzy Expert System Tools (Hardcover)

by Moti Schneider (Author), Gideon Langholz (Author), Abraham Kandel (Author), Gerard Chew (Author) "To understand various phenomena in the world around us, scientists often resort to mathematical modeling ..." (more)
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Product Description

Product Description
Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human decision–making in uncertain environments. Complimentary to the text is a software package containing executable FEST code. The text contains a detailed description of FEST and its coherent and systematic exploitation.

From the Back Cover
Fuzzy set theory provides a framework for representing uncertainty. As increasing importance is being given to uncertainty management in intelligent systems, fuzzy inferencing procedures are vital. Using Fest (Fuzzy Expert System Tools), the authors focus on the parameters of fuzzy rule–based systems. The book then goes on to show how Fest can be used for inference of indistinct data and algorithmic descriptions. Divided into three parts, this comprehensive text covers the characteristics of expert systems and fuzzy sets theory, knowledge representation and the inference process. Features include:
∗ Incorporation of uncertainty management and fuzzy logic in soft expert systems
∗ Coverage of the processes of knowledge acquisition, representation, and generation
∗ Novel ideas in approaching fuzzy inferencing
∗ Notions pertaining to flexible grammar and the use of synonyms
Written by international experts, this is an invaluable reference for engineers and computer scientists working in the areas of expert systems, fuzzy logic systems and applications of fuzzy logic both in industry and academia. The accompanying disk will allow readers to practice the methods introduced and thus highlight the power of fuzzy logic when combined with expert system technology.
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To understand various phenomena in the world around us, scientists often resort to mathematical modeling. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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