Abstract
Multiple criteria decision-making/aid (MCDM/A) methods have been applied in many different contexts to deal with problems of a single decision maker (DM) or a group of them. Critical issues when applying these methods are the evaluation of DMs’ preferences and the values of the parameters of the methods. This chapter aims to present an overview of preference modeling approaches for aiding multicriteria group decision-making (MCGDM) problems, when only partial (or imprecise/incomplete) information about DMs’ preferences is available. Generally, the primary objective is to reduce the amount of information required from the DMs in order to recommend a final compromise solution. Although this chapter is not an exhaustive review of the literature on methods using partial information, it does offer a framework for summarizing different types of approaches for preference modeling with partial information, with a special focus on the methods related to multi-attribute value theory (MAVT). In addition, a flexible elicitation procedure to aid MCGDM problems under partial information through an interactive decision support system is presented.
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This work had partial support from the Brazilian Research Council (CNPq).
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de Almeida, A.T., Frej, E.A., Morais, D.C., Costa, A.P.C.S. (2020). Multiple Criteria Group Decisions with Partial Information About Preference. In: Kilgour, D.M., Eden, C. (eds) Handbook of Group Decision and Negotiation. Springer, Cham. https://doi.org/10.1007/978-3-030-12051-1_50-1
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DOI: https://doi.org/10.1007/978-3-030-12051-1_50-1
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