Foundations of Reasoning under Uncertainty [electronic resource] / edited by Bernadette Bouchon-Meunier, Luis Magdalena, Manuel Ojeda-Aciego, JosȨ-Luis Verdegay, Ronald R. Yager.

Linear Fuzzy Regression Using Trapezoidal Fuzzy Intervals -- Fundamentals for Design and Construction of a Fuzzy Random Forest -- Mining Exception Rules -- Degrees of Truth, Ill-Known Sets and Contradiction -- Algorithms for Trapezoidal Approximations of Fuzzy Numbers Preserving the Expected Interval -- Possibilistic Similarity Measures -- Efficient Thresholded Tabulation for Fuzzy Query Answering -- Linguistic Summaries of Time Series: On Some Additional Data Independent Quality Criteria -- Preference Modelling Using the Level-Dependent Choquet Integral with Respect to ?ukasiewicz Filters -- Majority Rules Generated by Mixture Operators -- Belief Function Correction Mechanisms -- A Comparison of Conditional Coherence Concepts for Finite Spaces -- On Evidential Markov Chains.

This volume draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Mlaga, Spain, organized by the University of Mlaga. The conference brought together some of the worlds leading experts in the study of uncertainty. Since its first edition, held in 1986, the focus of IPMU conferences has been on the development of foundations and technology needed for the construction of intelligent systems. Over the years, IPMU has grown steadily in visibility and importance, and has evolved into a leading conference in its field, embracing a wide variety of methodologies for dealing with uncertainty and imprecision, and this explains the unusually wide variety of concepts, methods and techniques which are discussed in the book. The growth in importance of IPMU reflects the fact that as we move further into the age of machine intelligence and mechanized decisionmaking, the issue of how to deal with uncertain information becomes an issue of paramount concern.

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