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Springer Fuzzy Logic: Mathematical Tools for Approximate Reasoning

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Description

Explore the specialized field of fuzzy logic with this academic text from Springer. Part of the Trends in Logic series, this book focuses on fuzzy logic in its narrowest sense, offering a deep look into the formalization of approximate reasoning. Based on the foundational ideas established by Lotfi Zadeh in 1975, this work examines how human reasoning with vague notions can be translated into mathematical frameworks. This text provides a unique approach to the subject by proposing a general framework built upon three specific mathematical tools. Readers will study the theory of fuzzy closure operators, an extension principle for crisp logics, and the theory of recursively enumerable fuzzy subsets. It serves as an essential resource for those studying computer science, artificial intelligence, and machine learning who want to understand the formal structures behind reasoning with uncertainty.

Key Features

Focuses on fuzzy logic in a narrow sense to provide a specialized study of approximate reasoning techniques.

Builds upon the foundational concepts of formal logic established by Lotfi Zadeh in 1975.

Proposes a unique general framework utilizing the theory of fuzzy closure operators.

Includes an extension principle specifically designed for crisp logics.

Covers the theory of recursively enumerable fuzzy subsets for advanced mathematical study.

Part of the Trends in Logic series (Volume 11) published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 December 2010
Listed Since
01 October 2010

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