1. Basic Issues in Aggregation. - Kolmogorov' s theorem and its impact on soft computing. - Possibility and necessity in weighted aggregation. - OWA operators and an extension of the contrast model. - Equivalence of changes in proportions at crossroads of mathematical theories. - 2. Fundamental Aspects of OWA Operators. - On the inclusion of importances in OWA aggregation. - On the linguistic OWA operator and extensions. - Alternative representations of OWA operators. - 3. Mathematical Issues and OWA Operators. - Useful tools for aggregation procedures: some consequences and applications of Strossen 's measurable Hahn-Banach theorem. - OWA specificity. - Ordered continuous means and information. - 4. OWA Operators in Decision Analysis. - OWA operators in decision making with uncertainty and nonnumeric payoffs. - On the role of immediate probability in various decision making models. - Risk management using fuzzy logic and genetic algorithms. - OWA operators for doctoral student selection problem. - 5. OWA Operators in Multicriteria and Multiperson Decision Making. - Beyond min aggregation in multicriteria decision: (ordered) weighted mean discri-min leximin. - OWA operators in group decision making and consensus reaching under fuzzy preferences and fuzzy majority. - Applications of the linguistic OWA operators in group decision making. - Aggregation rules in committee procedures. - 6. OWA Operators in Querying and Information Retrieval. - Quantified statements and some interpretations for the OWA operators. - Using OWA operators in flexible query processing. - Application of OWA operatrors to soften information retrieval systems. - Implementation of OWA operators in fuzzy querying for Microsoft Access. - 7. OWA Operators in Learning and Classification. - OWA-based computing: learningalgorithms. - OWA operators in machine learning from imperfect examples. - An application of OWA operators to the aggregation of multiple classification decisions. Language: English