Fuzzy Expert System Tools
| AUTHOR | Kandel, Abraham; Langholz, Gideon; Schneider, Moti et al. |
| PUBLISHER | Wiley (08/06/1996) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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.
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Product Format
Product Details
ISBN-13:
9780471958673
ISBN-10:
0471958670
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
220
Carton Quantity:
30
Product Dimensions:
6.77 x 0.94 x 9.84 inches
Weight:
1.54 pound(s)
Country of Origin:
GB
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Expert Systems
Computers | Programming - General
Computers | Operating Systems - General
Dewey Decimal:
006.33
Library of Congress Control Number:
96011982
Descriptions, Reviews, Etc.
jacket back
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.
* 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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publisher marketing
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.
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Schneider
Hans-JArg Schneider has taught supramolecular chemistry courses at various institutions throughout the world. He has published over 85 papers in this field including several reviews and book contributions. Anatoly Yatsimirsky has conducted extensive research in the field of bioorganic chemistry studying micellar and metal complex catalysis. He has also published over 50 papers in these fields.
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