TY - GEN
T1 - Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences
AU - Chakhar, Salem
AU - Saad, Ines
AU - Labib, Ashraf
AU - Ishizaka, Alessio
PY - 2021/8/28
Y1 - 2021/8/28
N2 - 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.
AB - 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.
KW - group decision making
KW - aggregation/disaggregation approach
KW - cognitive effort
KW - majority principle
UR - https://iciks.org/
U2 - 10.1007/978-3-030-85977-0_5
DO - 10.1007/978-3-030-85977-0_5
M3 - Conference contribution
SN - 9783030859763
VL - 425
T3 - Lecture Notes in Business Information Processing
SP - 52
EP - 67
BT - Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.
A2 - Saad, Inès
A2 - Rosenthal-Sabroux, Camille
A2 - Gargouri, Faiez
A2 - Arduin, Pierre-Emmanuel
PB - Springer
T2 - 5th International Conference on Information and Knowledge Systems
Y2 - 22 June 2021 through 23 June 2021
ER -