£108.78

Springer Fuzzy Mathematics: Approximation Theory - Vol 251

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Description

Fuzzy Mathematics: Approximation Theory (Studies in Fuzziness and Soft Computing, 251) provides a deep dive into the first monograph dedicated to Fuzzy Approximation Theory. Published by Springer, this volume represents a decade of specialized research, expanding upon foundational works to offer a comprehensive look at the field. It serves as a vital resource for researchers and academics working within the broader scope of Fuzzy Mathematics. Each chapter is designed to be self-contained, making it an ideal text for advanced university courses. The book balances theoretical depth with practical utility by providing numerous applications, all maintained within the rigorous framework of Fuzzy Mathematics. Readers will find clear background information and motivations provided for each topic, ensuring a logical progression of ideas. With a complete list of references included at the end, this book is built to support continued study and academic investigation in AI, machine learning, and soft computing.

Key Features

Comprehensive research coverage including ten years of specialized work in the field of fuzziness.

Self-contained chapter structure that allows the book to be used for various advanced academic courses.

Practical application focus that provides real-world context within a strict Fuzzy Mathematics framework.

Detailed background and motivations provided for every topic to assist in complex learning.

Extensive reference list included at the end of the text for easy academic lookup and further study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 February 2010
Listed Since
13 November 2009

Barcode

No barcode data available

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