Title: A comparative analysis between LINMAP, paired comparison method and naturalistic ranking in different data display contexts
Authors: Hanane Taffahi; David Claudio
Addresses: Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, MT 59717, USA ' Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, MT 59717, USA
Abstract: This article presents a comparative analysis between two widely used decision-making methods, LINMAP and paired comparison method (PCM), using three different judging contexts. Decision makers ranked alternatives (for LINMAP) and criteria (for PCM) for contexts involving quantitative data only, qualitative data only, and a mix between the two. Attribute weights were calculated and final rankings of alternatives were deducted and compared to a naturalistic ranking of alternatives by the decision makers. LINMAP was found to be the closest match to a naturalistic decision-making. It was also found that incorporating qualitative data or a mixture between qualitative and quantitative data in multi-attribute decision-making problems was more consistent with the naturalistic ranking of alternatives.
Keywords: LINMAP; paired comparison method; PCM; naturalistic ranking; quantitative data; qualitative data; multi-attribute decision-making; MADM.
International Journal of Operational Research, 2020 Vol.38 No.1, pp.70 - 81
Received: 12 Aug 2016
Accepted: 23 Jul 2017
Published online: 29 Mar 2020 *