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 ...
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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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Add this copy of Soft Methods in Probability, Statistics and Data to cart. $37.50, very good condition, Sold by Second Story Books rated 4.0 out of 5 stars, ships from Rockville, MD, UNITED STATES, published 2002 by Physica-Verlag.
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Book. Octavo, vi, x, 372 pages. In Very Good condition. Paperback binding. Spine dark blue/yellow with white and dark blue lettering. Covers have moderate sunning with slight rubbing wear to the head/tail edges. Text block has very light age toning and minimal foxing to the edges. Illustrated. NOTE: Shelved in Netdesk Column F, ND-F. 1378315. FP New Rockville Stock.
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New. Trade paperback (US). Glued binding. 372 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Advances in Intelligent and Soft Computing, 16.
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