Aggregation Functions in Theory and in Practice

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Torra, Vicenç (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mesiar, Radko (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Baets, Bernard De (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Advances in Intelligent Systems and Computing, 581
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.
• Φυσική περιγραφή: XXV, 264 p. 41 illus. online resource.
• ISBN: 9783319593067
• ISSN: 2194-5357 ;
• DOI: 10.1007/978-3-319-59306-7

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).