Cautious OWA and Evidential Reasoning for decision under uncertainty

Abstract : To make a decision under certainty, multicriteria decision methods aims to choose, rank or sort alternatives on the basis of quantitative or qualitative criteria and preferences expressed by the decision-makers. However, decision is often done under uncertainty: choosing alternatives can have different consequences depending on the external context (or state of the world). In this paper, a new methodology called Cautious Ordered Weighted Averaging with Evidential Reasoning (COWA-ER) is proposed for decision making under uncertainty to take into account imperfect evaluations of the alternatives and unknown beliefs about groups of the possible states of the world (scenarii). COWA-ER mixes cautiously the principle of Yager's Ordered Weighted Averaging (OWA) approach with the efficient fusion of belief functions proposed in Dezert-Smarandache Theory (DSmT).
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Communication dans un congrès
14th International Conference on Information Fusion, Jul 2011, Chicago, United States. 8 p., 2011
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  • IRSTEA : PUB00034278

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J.M. Tacnet, J. Dezert. Cautious OWA and Evidential Reasoning for decision under uncertainty. 14th International Conference on Information Fusion, Jul 2011, Chicago, United States. 8 p., 2011. 〈hal-00647164〉

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