An optimization framework towards prioritization in fuzzy comparison matrices

  • Authors:
  • S. A. Torabi;H. Rafiei

  • Affiliations:
  • Department of Industrial Engineering, College of Engineering, University of Tehran, Kargar-e-shomali Street, P.O. Box 11155-4563, Tehran, Iran;Department of Industrial Engineering, College of Engineering, University of Tehran, Kargar-e-shomali Street, P.O. Box 11155-4563, Tehran, Iran

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

Quantified Score

Hi-index 12.05

Visualization

Abstract

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.