Soft methods in probability, statistics and data analysis

Advances in soft computing

Przemyslaw Grzegorzewski, Olgierd Hryniewicz, Maria A. Gil

382 pages, parution le 30/09/2002

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Résumé

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. Contents

Introductory papers
Soft methods in probability-Fundamentals
Soft methods in statistics-Fuzzy stochastic models
Soft methods in data analysis-Fuzzy, rough and other approaches

L'auteur - Przemyslaw Grzegorzewski

Polish Academy of Sciences, Warsaw, Poland

L'auteur - Olgierd Hryniewicz

Polish Academy of Sciences, Warsaw, Poland

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Przemyslaw Grzegorzewski, Olgierd Hryniewicz, Maria A. Gil
Parution	30/09/2002
Nb. de pages	382
Format	15 x 23,5
Couverture	Broché
Poids	571g
Intérieur	Noir et Blanc
EAN13	9783790815269