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Titlebook: Mathematics of Fuzziness—Basic Issues; Xuzhu Wang,Da Ruan,Etienne E. Kerre Book 2009 Springer-Verlag Berlin Heidelberg 2009 AI.Algebra.Com

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發(fā)表于 2025-3-21 20:06:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematics of Fuzziness—Basic Issues
編輯Xuzhu Wang,Da Ruan,Etienne E. Kerre
視頻videohttp://file.papertrans.cn/627/626939/626939.mp4
概述Systematic, self-contained introduction to the essentials of mathematics of fuzziness.Contains a lot of exercises in each section
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Mathematics of Fuzziness—Basic Issues; Xuzhu Wang,Da Ruan,Etienne E. Kerre Book 2009 Springer-Verlag Berlin Heidelberg 2009 AI.Algebra.Com
描述.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..
出版日期Book 2009
關(guān)鍵詞AI; Algebra; Computer Engineering; Computer Science; Computer-Aided Design (CAD); Extension; Fuzzy; Fuzzy L
版次1
doihttps://doi.org/10.1007/978-3-540-78311-4
isbn_softcover978-3-642-09700-3
isbn_ebook978-3-540-78311-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Xuzhu Wang,Da Ruan,Etienne E. Kerre in response to a demand for the material that it containsThe series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers,
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發(fā)表于 2025-3-22 02:30:46 | 只看該作者
Xuzhu Wang,Da Ruan,Etienne E. Kerrestimate are discussed. Modern nonlinear structures such as neural networks, radial basis networks, and hinging hyperplanes are described in a common framework as basis function expansions where the choice of basis function makes the difference between different structures. Often these model structur
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Fuzzy Relations,hether two objects have a relation is not always easy to determine. For example, the relation “greater than” on the set of real numbers is a crisp one because we can determine the order relation of any two real numbers without vagueness. However, the relation “much greater than” is a fuzzy one becau
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Fuzzy Inference and Fuzzy Control,e visible in the market. Almost every fuzzy product is related to a fuzzy control problem. It is no exaggeration to say that fuzzy set theory is highly accepted partly because of the great success of fuzzy control. Fuzzy controllers may vary substantially dependent on what control problem is to be s
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