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Springer Optimal Models and Methods with Fuzzy Quantities - Springer

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Description

This comprehensive academic text explores optimized models using fuzzy quantities, providing essential knowledge for undergraduates, master's graduates, and doctoral candidates in computer science and soft computing. Organised across 10 chapters split into six thematic parts, the book examines fuzzy modelling and fuzzy optimisation through diverse conceptual frameworks, methodologies, and algorithms. Designed for both educational use and professional research reference, it serves researchers working in soft science and artificial intelligence who need rigorous treatment of fuzzy systems. The text balances theoretical foundations with practical applications, making it suitable for those seeking to understand the wealth of capabilities within fuzzy logic and optimisation techniques.

Key Features

Comprehensive 10-chapter structure divided into six logical parts covering fuzzy modelling and optimisation methodologies.

Suitable for multiple academic levels including undergraduate, master's degree, and doctoral study programmes.

Serves as an authoritative reference resource for researchers specialising in soft computing and fuzzy systems.

Explores diverse concepts, methodologies, and algorithms in fuzzy optimisation with rigorous academic treatment.

Published by Springer in the Studies in Fuzziness and Soft Computing series, volume 248.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 May 2012
Listed Since
11 May 2012

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