Incorporating collective functions to multicriteria disaggregation-aggregation approaches for small group decision making

Multicriteria disaggregation-aggregation UTA* and UTA II approaches and the corresponding decision support systems MINORA and MIIDAS for discrete alternative actions lead to the construction of preference models based on decision makers (DMs) global preferences and the exploitation of linear programming techniques. DMs' global preferences are expressed by rank-ordering (pre-ranking) of a subset of the alternative actions. This research work examines the incorporation of voting collective functions in order to estimate a global pre-ranking of the alternative actions in decision problems, where the opinion of many actors is required. Also, the corresponding features of new software [Rankings Aggregation for Committees and Elections Subsystem (RACES)] developed to support small group decision aid process, accompanying the MINORA system are presented and illustrated in this research work.