Multiple-attribute group decision making using a modified TOPSIS method in the presence of interval data

Abstract

TOPSIS is a well-known technique in multiple criteria decision making and has found several applications in recent years. However, as mentioned in literature TOP-SIS has several shortcomings. In this paper, we present an extension of TOPSIS method to determine the weight of decision makers (DMs) in group multiple attribute decision making problems with interval information. Our method is based on the concept that the best alternative is closer to the positive ideal solution and far away from the negative ideal solution, simultaneously. The contribution of the proposed method is that while it overcomes the shortcomings of the TOPSIS method it can be used to weight the decision making team and ranking the alternatives, as well. The method is illustrated through three examples.

Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection

“…Lourenzutti and Krohling [6] explored a generalised TOPSIS technique for group decision-making with the heterogeneous input. Abootalebi et al [18] proposed a MAGDM using modifed TOPSIS techniques with interval information to overcome the shortcomings of the aforementioned fuzzy TOPSIS method. Furthermore, Salih et al [19] surveyed the developments in fuzzy TOPSIS on FMCDM between 2007 and 2017.…”