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A generic framework to include Belief functions in preference handling for multi-criteria decision

Abstract : Modelling the preferences of a decision maker about multi-criteria alternatives usually starts by collecting preference information, then used to fit a model issued from a set of hypothesis (weighted average, CP-net). This can lead to inconsistencies, due to inaccurate information provided by the decision maker or to a poor choice of hypothesis set. We propose to quantify and resolve such inconsistencies, by allowing the decision maker to express her/his certainty about the provided preferential information in the form of belief functions.
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https://hal.archives-ouvertes.fr/hal-01677517
Contributor : Sébastien Destercke <>
Submitted on : Monday, January 8, 2018 - 2:09:58 PM
Last modification on : Tuesday, May 28, 2019 - 4:04:28 PM
Long-term archiving on: : Wednesday, May 23, 2018 - 3:57:08 PM

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Sébastien Destercke. A generic framework to include Belief functions in preference handling for multi-criteria decision. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), Jun 2017, Lugano, Switzerland. pp.179-189. ⟨hal-01677517⟩

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