书目名称 | Statistical Modeling, Analysis and Management of Fuzzy Data | 编辑 | Carlo Bertoluzza,María-Ángeles Gil,Dan A. Ralescu | 视频video | | 概述 | States the complementary rather than competitive relationship between Probability and Fuzzy Set Theory.Allows solutions to reallife problems with suitable combinations of both theories.Includes supple | 丛书名称 | Studies in Fuzziness and Soft Computing | 图书封面 |  | 描述 | "Statistical Modeling, Analysis and Management of Fuzzy Data," or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty? Are the theories of fuzziness and random ness competitive or complementary? In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. Wha | 出版日期 | Book 2002 | 关键词 | Extension; Probability distribution; Probability theory; Random variable; Variance; artificial intelligen | 版次 | 1 | doi | https://doi.org/10.1007/978-3-7908-1800-0 | isbn_softcover | 978-3-7908-2501-5 | isbn_ebook | 978-3-7908-1800-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | Springer-Verlag Berlin Heidelberg 2002 |
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