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Springer - Fuzzy Sets, Decision Making, and Expert Systems 10

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Description

Explore the evolution of fuzzy set theory in this specialized volume from the International Series in Management Science Operations Research. Since L. Zadeh introduced these concepts, the field has grown into a massive collection of models and techniques designed to handle complex phenomena. This book addresses the fundamental question of how fuzzy set theory provides results for problem areas that classical methods, based on probability theory and bivalent logic, cannot reach. This text is essential for those studying how to manage uncertainty and complexity in decision-making processes. It examines the practical applications and theoretical advancements that have emerged over decades of research. By moving beyond classical analysis, this work provides a deeper understanding of how fuzzy logic functions in real-world scenarios. It serves as a significant resource for researchers and professionals looking to understand the distinction between traditional logic and fuzzy set applications in modern science and management.

Key Features

Part of the International Series in Management Science Operations Research, providing a scholarly foundation for advanced study.

Covers the development of fuzzy set theory from its inception by L. Zadeh to its current state of maturity.

Addresses the practical differences between fuzzy set theory and classical methods like probability theory and bivalent logic.

Provides analysis on complex phenomena that do not lend themselves to traditional mathematical analysis.

Offers insights into significant problem areas where fuzzy sets yield unique results unattainable by classical methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
26 September 2011
Listed Since
21 December 2012

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