Multicriteria group decision making: optimal priority synthesis from pairwise comparisons

We propose an optimization based hybrid approach for multicriteria group decision making that takes advantage of aggregating individual judgments and aggregating individual priority methods. Different error structures and criteria with particular emphasis on weighted least square measure and weighted least logarithmic square measure for additive and multiplicative error structures are studied. We evaluate also the statistical properties of the derived group preference and new measures to assess consistency. The proposed methods provide an iterative and flexible framework for guiding group decision making.