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Introduction to Neuro-Fuzzy Systems by Robert Fullér is a nonfiction available to read on EtoBox.

What is Introduction to Neuro-Fuzzy Systems about?

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. •

Who reads Introduction to Neuro-Fuzzy Systems?

Author

Robert Fullér

Publisher

Springer Nature

Published

2000

Language

EN

ISBN

9783790812565

Category

nonfiction

Subjects

Computer Science, Business, Mathematics