An optimization framework towards prioritization in fuzzy comparison matrices

Prioritization or eliciting final weights from the pairwise comparison matrices might be a major part of some Multiple Criteria Decision Analysis (MCDA) methods which are based upon these matrices. However, in a fuzzy environment, two other issues, i.e., consistency and reciprocity, are also arisen in such matrices with at least one fuzzy component. In this paper, a single-decision-making optimization model along with two group-decision-making optimization models are developed towards prioritization in fuzzy pairwise comparison matrices. A comprehensive numerical analysis is performed to validate the proposed models. Finally, some conclusions are reported.

► Developing a single and two group optimization models towards prioritization in fuzzy comparison matrices.
► Conducting extensive numerical analysis to validate the proposed models.
► Providing some remarkable findings about the proposed models.