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Aggregation Functions in Theory and in Practice de Vicenç Torra

Aggregation Functions in Theory and in Practice: Advances in Intelligent Systems and Computing, cartea 581

Editat de Vicenç Torra, Radko Mesiar, Bernard De Baets
en Limba Engleză Paperback – 19 mai 2017
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).
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Specificații

ISBN-13: 9783319593050
ISBN-10: 3319593056
Pagini: 264
Ilustrații: XXV, 264 p. 41 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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).

Caracteristici

Includes the latest research on aggregation functions Presents state-of-the-art technologies and applications Provides selected scientific contributions at the 9th International Summer School on Aggregation Operators (AGOP 2017), held in Skövde, Sweden from June 12 to 22, 2017 Includes supplementary material: sn.pub/extras