Solving MCDM problems based on combination of PACMAN and LINMAP

Mojtaba Kashef, Hossein Safari, Meysam Maleki, Virgilio Cruz-Machado

Research output: Contribution to journalArticle

2 Citations (Scopus)
15 Downloads (Pure)

Abstract

Multicriteria decision-making approaches are receiving more and more attention with the increase of expectations from decision makers in variety of fields. The growth in applying such approaches has led to identifying their strengths as well as their shortcomings. Passive and active compensability multicriteria analysis (PACMAN) is one of the frequently used approaches which has the capability to consider compensation in describing intercriteria relations in multicriteria decision-making problems. This methodology is well formed and rationally structured in the first two phases, in which the problem is formulated and the decisive indices are obtained. However, it has some shortcomings in the idea of concluding the process of solution in its last phase. In the current study, we review the methodology, discuss its possible shortcomings, and propose an approach based on the combination of PACMAN and linear programming technique for multidimensional analysis of preference (LINMAP). The proposed approach which is taken to evaluate the PACMAN and LINMAP methodologies can help researchers and decision makers who seek an accurate perspective to evaluate a multicriteria decision-making methodology.

Original languageEnglish
Pages (from-to)169-176
Number of pages8
JournalJournal of Multi-Criteria Decision Analysis
Volume25
Issue number5-6
DOIs
Publication statusPublished - 1 Sep 2018

Keywords

  • LINMAP
  • MCDM
  • PACMAN
  • ranking

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