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Introduction to Neuro-Fuzzy Systems (Paperback, 2000 ed.) Loot Price: R1,702
Discovery Miles 17 020
Introduction to Neuro-Fuzzy Systems (Paperback, 2000 ed.): Robert Fuller

Introduction to Neuro-Fuzzy Systems (Paperback, 2000 ed.)

Robert Fuller

Series: Advances in Intelligent and Soft Computing, 2

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Loot Price R1,702 Discovery Miles 17 020 | Repayment Terms: R160 pm x 12*

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Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. * In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. * In fuzzy logic, everything is a matter of degree. * In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. * Inference is viewed as a process of propagation of elastic con straints. * Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance fur specific applications.

General

Imprint: Physica-Verlag
Country of origin: Germany
Series: Advances in Intelligent and Soft Computing, 2
Release date: 2001
First published: 2000
Authors: Robert Fuller
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Paperback
Pages: 289
Edition: 2000 ed.
ISBN-13: 978-3-7908-1256-5
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 3-7908-1256-0
Barcode: 9783790812565

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