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Mathematics of Fuzziness-Basic Issues (Paperback, Softcover reprint of hardcover 1st ed. 2009): Xuzhu Wang, Da Ruan, Etienne E.... Mathematics of Fuzziness-Basic Issues (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Xuzhu Wang, Da Ruan, Etienne E. Kerre
R2,957 Discovery Miles 29 570 Ships in 10 - 15 working days

Mathematics of Fuzziness - Basic Issues introduces a basic notion of 'fuzziness' and provides a conceptual mathematical framework to characterize such fuzzy phenomena in Studies in Fuzziness and Soft Computing. The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, fuzzy relations, fuzzy numbers, fuzzy algebra, fuzzy measures, fuzzy integrals, and fuzzy topology to fuzzy control in a strictly mathematical manner. It contains most of the authors' research results in the field of fuzzy set theory and has evolved from the authors' lecture notes to both undergraduate and graduate students over the last three decades. A lot of exercises in each chapter of the book are particularly suitable as a textbook for any undergraduate and graduate student in mathematics, computer science and engineering. The reading of the book will surely lay a solid foundation for further research on fuzzy set theory and its applications.

Mathematics of Fuzziness-Basic Issues (Hardcover, 2009 ed.): Xuzhu Wang, Da Ruan, Etienne E. Kerre Mathematics of Fuzziness-Basic Issues (Hardcover, 2009 ed.)
Xuzhu Wang, Da Ruan, Etienne E. Kerre
R3,096 Discovery Miles 30 960 Ships in 10 - 15 working days

Mathematics of Fuzziness - Basic Issues introduces a basic notion of 'fuzziness' and provides a conceptual mathematical framework to characterize such fuzzy phenomena in Studies in Fuzziness and Soft Computing. The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, fuzzy relations, fuzzy numbers, fuzzy algebra, fuzzy measures, fuzzy integrals, and fuzzy topology to fuzzy control in a strictly mathematical manner. It contains most of the authors' research results in the field of fuzzy set theory and has evolved from the authors' lecture notes to both undergraduate and graduate students over the last three decades. A lot of exercises in each chapter of the book are particularly suitable as a textbook for any undergraduate and graduate student in mathematics, computer science and engineering. The reading of the book will surely lay a solid foundation for further research on fuzzy set theory and its applications.

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