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Can I read Mathematics of Fuzziness – Basic Issues on EtoBox?
Mathematics of Fuzziness – Basic Issues by Xuzhu Wang, Da Ruan, Etienne E. Kerre (auth.) is a nonfiction available to read on EtoBox.
What is Mathematics of Fuzziness – Basic Issues about?
__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.
Who reads Mathematics of Fuzziness – Basic Issues?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Xuzhu Wang, Da Ruan, Etienne E. Kerre (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2009
- Language
- EN
- ISBN
- 9783642089749
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Medical
Other editions & translations
- Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing, 242) (2009)
- Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets (4)) (2005)
- Modeling Uncertainty with Fuzzy Logic : With Recent Theory and Applications (2009)
- Modeling and Problem Solving Techniques for Engineers (2004)
- Fuzzy Implications (studies In Fuzziness And Soft Computing) (2008)
More by Xuzhu Wang, Da Ruan, Etienne E. Kerre (auth.)
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