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

S. Chakhar , Ines Saad (1) , A. Labib , A. Ishizaka

1 MIS - Modélisation, Information et Systèmes - UR UPJV 4290

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.

Domaines: Informatique [cs]

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⟩