£76.05

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Springer Fuzzy Logic: Mathematical Tools for Approximate Reasoning

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Description

Fuzzy Logic: Mathematical Tools for Approximate Reasoning presents a comprehensive framework for understanding approximate reasoning through formal logic, building on foundational concepts introduced by Lotfi Zadeh in 1975. This Springer volume explores how fuzzy logic formalizes the vague notions and everyday reasoning that humans naturally employ. The book introduces three key mathematical tools: fuzzy closure operators, an extension principle for crisp logics, and recursively enumerable fuzzy subsets. Designed for researchers and advanced students in artificial intelligence and computer science, this text bridges the gap between traditional formal logic and practical applications of fuzzy reasoning, offering unique insights into how mathematical frameworks can model human-like approximate thinking.

Key Features

Explores fuzzy logic as a formal mathematical system grounded in Lotfi Zadeh's 1975 foundational work on approximate reasoning.

Presents three core mathematical tools: fuzzy closure operators, extension principles for crisp logics, and recursively enumerable fuzzy subsets.

Addresses the formalisation of vague notions and approximate reasoning used in human decision-making and everyday logic.

Provides a unique general framework combining multiple mathematical approaches to fuzzy logic theory.

Ideal for AI and machine learning researchers seeking rigorous mathematical foundations for fuzzy reasoning systems.

Product Specifications

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

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No barcode data available

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