ENGLISH

Soft Methods in Probability, Statistics and Data Analysis

By Didier Dubois , Henri Prade (auth.) , Dr. Przemysław Grzegorzewski , Prof. Dr. Olgierd Hryniewicz , Professor María Ángeles Gil (eds.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2002
ISBN
978-3-7908-1526-9, 978-3-7908-1773-7
DOI
10.1007/978-3-7908-1773-7
Language
english
Format
PDF
Filesize
7 MB (7393065 bytes)
Series
Advances in Intelligent and Soft Computing 16
Edition
1
Pages
372\376
Time added
2014-01-18 08:00:00
Probability and Statistics in Computer Science; St

Description

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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