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Article Dans Une Revue Lecture Notes in Business Information Processing Année : 2021

Cognitive Effort Reduction within Group Decision Making through Aggregation and Disaggregation of Individual Preferences

S. Chakhar
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Ines Saad
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A. Labib
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A. Ishizaka
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Résumé

Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a multicriteria classification approach that relies on an aggregation/disaggregation strategy within a group of decision makers, permitting thus to considerably reduce the needed cognitive effort at individual as well as group levels. The aggregation/disaggregation strategy is known for its ability to reduce the cognitive effort at the level of individual decision makers. At group level, a simple majority rule is used to generate consensual decisions with no additional information from the decision makers. A didactic example is used to illustrate the proposed approach. \textcopyright 2021, Springer Nature Switzerland AG.
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Dates et versions

hal-03685094 , version 1 (01-06-2022)

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Citer

S. Chakhar, Ines Saad, A. Labib, A. Ishizaka. Cognitive Effort Reduction within Group Decision Making through Aggregation and Disaggregation of Individual Preferences. Lecture Notes in Business Information Processing, 2021, 425 LNBIP, pp.52--67. ⟨10.1007/978-3-030-85977-0_5⟩. ⟨hal-03685094⟩
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