书目名称 | Soft Methods in Probability, Statistics and Data Analysis | 编辑 | Przemysław Grzegorzewski,Olgierd Hryniewicz,María | 视频video | | 概述 | Includes supplementary material: | 丛书名称 | Advances in Intelligent and Soft Computing | 图书封面 |  | 描述 | Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis. | 出版日期 | Conference proceedings 2002 | 关键词 | Analysis; Probability theory; Stochastic model; Stochastic models; data analysis; fuzzy; mathematical stat | 版次 | 1 | doi | https://doi.org/10.1007/978-3-7908-1773-7 | isbn_softcover | 978-3-7908-1526-9 | isbn_ebook | 978-3-7908-1773-7Series ISSN 1867-5662 Series E-ISSN 1867-5670 | issn_series | 1867-5662 | copyright | Springer-Verlag Berlin Heidelberg 2002 |
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