Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method
Applied Soft ComputingPublished 21 August 2012
Behnam Vahdani, Reza Tavakkoli‐Moghaddam, Seyed Meysam Mousavi, Ali Ghodratnama
Citations85
SJR quartileQ1
SJR score1.51
SNIP1.97
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TL;DR
A new interval-valued fuzzy modified TOPSIS (IVFM-TOPSIS) method is proposed that can reflect both subjective judgment and objective information in real life situations and appraise the performance of alternatives against both subjective and objective criteria with multi-judges for decision-making problems.
Abstract
► Proposing a new interval-valued fuzzy modified version of classical TOPSIS method. ► Appraising performances of alternatives against subjective and objective criteria. ► Considering positive and negative ideal points with multi-judge under uncertainty. In this paper, a new interval-valued fuzzy modified TOPSIS (IVFM-TOPSIS) method is proposed that can reflect both subjective judgment and objective information in real life situations. This proposed method is based on concepts of the positive ideal and negative ideal solutions for solving multi-criteria decision-making (MCDM) problems in a fuzzy environment. The performance rating values and weights of criteria are linguistic variables expressed as triangular interval-valued fuzzy numbers. Furthermore, we appraise the performance of alternatives against both subjective and objective criteria with multi-judges for decision-making problems. Finally, for the purpose of proving the validity of the proposed method a numerical example is presented for a robot selection problem.
Keywords
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