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OverviewThis volume examines Ordered Weighted Averaging (OWA) operators. These OWA operators make it possible to change the form of aggregation from the ""pessimistic"" minimum-type aggregation through all intermediate types including the conventional arithmetic mean and nonconventional aggregations, to the ""optimistic"" maximum-type aggregations. Included are contributions from a number of fields where these operators have been applied. These fields are decision analysis under uncertainty, learning and classification, multi-person decision-making and consensus formation, and flexible database querying and information retrieval. Full Product DetailsAuthor: Ronald R. Yager , J. KacprzykPublisher: Springer Imprint: Springer Edition: 1997 ed. Dimensions: Width: 15.50cm , Height: 2.00cm , Length: 23.50cm Weight: 1.500kg ISBN: 9780792399346ISBN 10: 079239934 Pages: 347 Publication Date: 31 May 1997 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |