Fuzzy Logic by G. Gerla - ISBN: 9780792369417
Hardcover
Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). By contrast, fuzzy logical deductive machinery is devised to produce a fuzzy set of formulas (the theorems) from a fuzzy set of formulas (the hypotheses).

Fuzzy Logic

Mathematical Tools for Approximate Reasoning

  • Hardcover

    271 pages

  • Release Date

    30 April 2001

Summary

The theme of this book is fuzzy logic in a narrow sense, a promising new chapter of formal logic. The basic ideas of formal logic were formulated by Lotfi Zadeh in 1975. The aim of this logic is to investigate the human capacity of reasoning with vague notions by attempting to formalize the “approximate reasoning” we use in everyday life. A peculiarity of this book is to propose a general framework based on three mathematical tools: the theory of fuzzy closure operators, an extension principle for crisp logics and the theory of recursively enumerable fuzzy subsets. This book is unique in that it treats fuzzy logics which are not truth-functional in nature (as an example, the logic of the necessities, probabilistic logics and similarity-based logics). The book is addressed to people interested in artificial intelligence, fuzzy control, formal logic, and philosophy. It can be used in special post-graduate university studies and in advanced courses. The book is completely self-contained.

Book Details

ISBN-13:9780792369417
ISBN-10:0792369416
Author:G. Gerla
Publisher:Kluwer Academic Publishers
Imprint:Kluwer Academic Publishers
Format:Hardcover
Number of Pages:271
Edition:2001st
Release Date:30 April 2001
Weight:1.29kg
Dimensions:155mm x 235mm
Series:Trends in Logic
A-Format
B-Format
C-Format
Fuzzy Logic by G. Gerla - ISBN: 9780792369417
155 × 235 mm
A4
mm / in
What They're Saying

Critics Review

`Gerla (University of Salerno, Italy), in this book, is concerned with fuzzy logic in the narrow sense, as the subtitle “Mathematical Tools for Approximate Reasoning” makes clear. The preface indicates that the book is principally concerned with three mathematical tools: the theory of fuzzy closure operators, an extension principle for closure operators, and the theory of recursively enumerable fuzzy subsets. Gerla sets out the details of his research related to these tools. Obviously, this book is intended for advanced study in graduate courses and as a resource for researchers, and so it would be a good addition to libraries of institutions where graduate studies and research in FLn are carried out. Graduate students and faculty
R. Bharath, emeritus, Northern Michigan University in Choice, January 2002

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