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Item Details
Title: SOFT METHODS FOR HANDLING VARIABILITY AND IMPRECISION
By: Didier Dubois (Editor), Maria Asuncion Lubiano (Editor), Henri Prade (Editor)
Format: Paperback

List price: £179.99


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ISBN 10: 3540850260
ISBN 13: 9783540850267
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 20 August, 2008
Series: Advances in Intelligent and Soft Computing 48
Pages: 436
Description: Gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. This work aims to present results illustrating such trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information.
Synopsis: Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods. This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.
Illustrations: 21 Tables, black and white; 45 Illustrations, black and white; XXII, 436 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
COMPUTATIONAL APPROACHES TO ANALOGICAL REASONING: CURRENT TRENDS (HB)
COMPUTATIONAL APPROACHES TO ANALOGICAL REASONING: CURRENT TRENDS (PB)
CONCEPTS AND METHODS OF DECISION-MAKING (HB)
DECISION MAKING PROCESS
DECISION MAKING PROCESS
DECISION MAKING PROCESS
DECISION THEORY AND MULTI-AGENT PLANNING (PB)
FOUNDATIONS OF INFORMATION AND KNOWLEDGE SYSTEMS (PB)
FUNDAMENTALS OF FUZZY SETS (HB)
FUNDAMENTALS OF FUZZY SETS (PB)
FUZZY SETS AND SYSTEMS (HB)
FUZZY SETS IN APPROXIMATE REASONING AND INFORMATION SYSTEMS (HB)
FUZZY SETS IN APPROXIMATE REASONING AND INFORMATION SYSTEMS (PB)
FUZZY SETS, LOGICS AND REASONING ABOUT KNOWLEDGE (HB)
FUZZY SETS, LOGICS AND REASONING ABOUT KNOWLEDGE (PB)
MATHEMATICAL MODELS FOR HANDLING PARTIAL KNOWLEDGE IN ARTIFICIAL INTELLIGENCE (HB)
MATHEMATICAL MODELS FOR HANDLING PARTIAL KNOWLEDGE IN ARTIFICIAL INTELLIGENCE (PB)
METHODS FOR HANDLING IMPERFECT SPATIAL INFORMATION (HB)
METHODS FOR HANDLING IMPERFECT SPATIAL INFORMATION (PB)
PLANNING BASED ON DECISION THEORY (PB)
POSSIBILITY THEORY (HB)
POSSIBILITY THEORY (PB)
PREFERENCES AND SIMILARITIES (HB)
PREFERENCES AND SIMILARITIES (PB)
RANDOM SETS AND RANDOM FUZZY SETS AS ILL-PERCEIVED RANDOM VARIABLES (PB)
SCALABLE UNCERTAINTY MANAGEMENT (PB)
TRANSACTIONS ON ROUGH SETS (PB)

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