A4 Article in conference proceedings
Group preference modelling in SMAA using belief functions (2005)


Lahdelma, R., Tervonen, T., Salminen, P., & Figueira, J. (2005). Group preference modelling in SMAA using belief functions. In M. H. Hamza (Ed.), Proceedings of the 23rd International Multi-Conference on Artificial Intelligence and Applications (pp. 381-386). Acta press.


JYU authors or editors


Publication details

All authors or editors: Lahdelma, Risto; Tervonen, Tommi; Salminen, Pekka; Figueira, José

Parent publication: Proceedings of the 23rd International Multi-Conference on Artificial Intelligence and Applications

Parent publication editors: Hamza, M. H.

Place and date of conference: Innsbruck, Austria, 14.-16.2.2005

Publication year: 2005

Pages range: 381-386

Publisher: Acta press

Publication country: Austria

Publication language: English

Publication open access: Not open

Publication channel open access:


Abstract

Stochastic Multicriteria Acceptability Analysis (SMAA) is a family of methods to aid decision makers (DMs) in dis crete decision making problems. SMAA methods are ca pable of handling preference information of various types. The imperfect knowledge about the preferences of multiple DMs can for example be represented by a joint probability distribution for criteria weights (scale factors). Dempster-Shafer theory of evidence (DST) is a gen eralization of the classic Bayesian probability theory, that allows modelling of ignorance by using belief functions. In this paper we show how the preferences of multiple DMs can be modelled and combined using DST, and how this information can then be encoded as interval constraints for sets of weights in SMAA.


Keywords: decision making; stochastic multiobjective acceptability analysis

Free keywords: Stochastic Multicriteria Acceptability Analysis (SMAA); group decision making; preference modelling


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Ministry reporting: Yes

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Last updated on 2021-16-07 at 20:10