Bringing together experts representing different approaches used in soft probability, statistics and data analysis, this title explores "softening" approaches in classical probability in theories such as fuzzy sets rough sets, possibility belief functions and imprecise probabilities. Editor(s): Grzegorzewski, Przemyslaw; Hryniewicz, Olgierd; Gil, M. Angeles. Series: Advances in Intelligent and Soft Computing (Closed). Num Pages: 372 pages, 26 black & white illustrations, 17 black & white tables, biography. BIC Classification: GPH; PBT; PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 20. Weight in Grams: 587. . 2002. Softcover reprint of the original 1st ed. 2002. Paperback. . . . .

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Bibliographic Details

Title: Soft Methods in Probability, Statistics and Data Analysis
Publisher: Physica-Verlag GmbH & Co
Publication Date: 2002
Language: English
ISBN 10: 3790815268
ISBN 13: 9783790815269
Binding: Soft cover
Condition: New

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Synopsis

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.

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