| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 388315 | Expert Systems with Applications | 2012 | 9 Pages |
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.
