Soft Methods For Handling Variability And Imprecision

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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.


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Advances in Soft Computing Editor-in-Chief: J. Kacprzyk 48 Advances in Soft Computing Editor-in-Chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Kryzysztof Trojanowski (Eds.) Intelligent Information Processing and Web Mining, 2005 ISBN 978-3-540-25056-2 Abraham Ajith, Bernard de Bacts, Mario Köppen, Bertram Nickolay (Eds.) Applied Soft Computing Technologies: The Challenge of Complexity, 2006 ISBN 978-3-540-31649-7 Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Kryzysztof Trojanowski (Eds.) Intelligent Information Processing and Web Mining, 2006 ISBN 978-3-540-33520-7 Ashutosh Tiwari, Joshua Knowles, Erel Avineri, Keshav Dahal, Rajkumar Roy (Eds.) Applications and Soft Computing, 2006 ISBN 978-3-540-29123-7 Bernd Reusch, (Ed.) Computational Intelligence, Theory and Applications, 2006 ISBN 978-3-540-34780-4 Jonathan Lawry, Enrique Miranda, Alberto Bugarín Shoumei Li, María Á. Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz, Soft Methods for Integrated Uncertainty Modelling, 2006 ISBN 978-3-540-34776-7 Ashraf Saad, Erel Avineri, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy (Eds.) Soft Computing in Industrial Applications, 2007 ISBN 978-3-540-70704-2 Bing-Yuan Cao (Ed.) Fuzzy Information and Engineering, 2007 ISBN 978-3-540-71440-8 Patricia Melin, Oscar Castillo, Eduardo Gómez Ramírez, Janusz Kacprzyk, Witold Pedrycz (Eds.) Analysis and Design of Intelligent Systems Using Soft Computing Techniques, 2007 ISBN 978-3-540-72431-5 Oscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepúlveda Cruz, Witold Pedrycz, Janusz Kacprzyk (Eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007 ISBN 978-3-540-72433-9 Katarzyna M. W˛egrzyn-Wolska, Piotr S. Szczepaniak (Eds.) Advances in Intelligent Web Mastering, 2007 ISBN 978-3-540-72574-9 Emilio Corchado, Juan M. Corchado, Ajith Abraham (Eds.) Innovations in Hybrid Intelligent Systems, 2007 ISBN 978-3-540-74971-4 Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek (Eds.) Computer Recognition Systems 2, 200
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