Aggregation Functions in Theory and in Practice. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2017
Serie: Libro 90 di 540 - Advances in Intelligent Systems and Computing
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Aggregation Functions in Theory and in Practice | Vicenç Torra (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xxv | Englisch | 2017 | Springer | EAN 9783319593050 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Codice articolo 109197991
- Titolo
- Aggregation Functions in Theory and in Practice
- Autore
- Vicenç Torra (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2017
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 3319593056
- ISBN 13
- 9783319593050
- Peso dell'articolo
- 446 grammi
- Dimensioni
- 235 x 155 x 16 mm
- Serie
- Libro 90 di 540: Advances in Intelligent Systems and Computing
- Cataloghi dei venditori
- Bücher
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).
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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).
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.