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Springer Fuzzy Mathematics: Approximation Theory - Springer Vol. 251

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Description

Fuzzy Mathematics: Approximation Theory is the first comprehensive monograph dedicated to fuzzy approximation theory, presenting a decade of the author's research work in this specialised field. Part of Springer's Studies in Fuzziness and Soft Computing series (volume 251), this book bridges theoretical foundations and practical applications within fuzzy mathematics. The self-contained chapters are designed for advanced courses and independent study, with each section providing background, motivations, and complete references. The work covers diverse topics in fuzzy approximation theory with applications grounded in fuzzy mathematics principles, making it an essential resource for researchers, mathematicians, and computer scientists working in artificial intelligence, machine learning, and computational mathematics.

Key Features

Springer Studies in Fuzziness and Soft Computing series volume 251, offering peer-reviewed research in advanced mathematical theory.

Self-contained chapters allow readers to study topics independently or use sections for advanced university courses in fuzzy mathematics.

Comprehensive reference lists provided throughout, supporting further research and study in fuzzy approximation theory applications.

Covers diverse topics in fuzzy mathematics with emphasis on approximation theory and its practical applications in computing.

Presents ten years of original author research work, representing a significant contribution to the field of fuzzy mathematics literature.

Product Specifications

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

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