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Aggregation Functions in Theory and in Practice [[electronic resource] /] / edited by Vicenç Torra, Radko Mesiar, Bernard De Baets



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Titolo: Aggregation Functions in Theory and in Practice [[electronic resource] /] / edited by Vicenç Torra, Radko Mesiar, Bernard De Baets Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XXV, 264 p. 41 illus.)
Disciplina: 515.724
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Persona (resp. second.): TorraVicenç
MesiarRadko
BaetsBernard De
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: The role of aggregation functions on auctions -- Aggregation of multidimensional data: a review -- k-maxitivity of order-preserving Homomorphisms of lattices -- Directional and Ordered Directional Monotonicity of Mixture Functions -- On Stability of Families for Improper Aggregation Operators -- On Implication Operators -- Some results about fuzzy consequence operators and fuzzy preorders using conjunctors.
Sommario/riassunto: This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
Titolo autorizzato: Aggregation Functions in Theory and in Practice  Visualizza cluster
ISBN: 3-319-59306-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299920603321
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Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 581