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Choquet integral: distributions and decisions
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
2016 (English)In: 83rd meeting of the European Working Group on Multicriteria Decision Aiding! / [ed] Núria Agell, Barcelona: ESADE, Ramon Llull University , 2016Conference paper, Abstract (Other academic)
Abstract [en]

Choquet integrals integrate functions with respect to fuzzy measures. From a mathematical point of view these integrals generalize the Lebesgue integrals when the measures are additive. From a point of view of aggregation functions, one of the relevant aspects is that they generalize the weighted mean and the OWA. Choquet integrals have been successfully used in decision making problems when there are interactions between criteria. In this setting we can learn or identify the measures from a set of decisions. This fact seems to indicate that we can consider data as generated from distributions based on the Choquet integral. We will present some results on these types of distributions and on their generalizations.  

Place, publisher, year, edition, pages
Barcelona: ESADE, Ramon Llull University , 2016.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-13364OAI: oai:DiVA.org:his-13364DiVA: diva2:1071384
Conference
The 83rd European Working Group in Multicriteria Decision Aiding (EWG-MCDA), ESADE Business School, Ramon Llull University in Barcelona, Spain, March 31st - April 2nd, 2016
Available from: 2017-02-04 Created: 2017-02-04 Last updated: 2017-02-13Bibliographically approved

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http://itemsweb.esade.edu/research/grec/web/Session5/Torra.pdf

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Torra, Vicenç
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