Extension of VIKOR method in intuitionistic fuzzy environment for robot selection

Decision making is the process of finding the best option among the feasible alternatives. In classical multiple-criteria decision making methods, the ratings and the weights of the criteria are known precisely. However, if decision makers are not able to involve uncertainty in the defining of linguistic variables based on fuzzy sets, the intuitionistic fuzzy set theory can do this job very well. In this paper, VIKOR method is extended in intuitionistic fuzzy environment, aiming at solving multiple-criteria decision making problems in which the weights of criteria and ratings of alternatives are taken as triangular intuitionistic fuzzy set. For application and verification, this study presents a robot selection problem for material handling task to verify our proposed method.

► The concept of intuitionistic fuzzy sets is applied to VIKOR, called IF-VIKOR to make more realistic and informed decisions based on available information.
► The importance weights of criteria and the ratings of alternatives are assessed by linguistic terms which are further quantified in triangular intuitionistic fuzzy sets.
► The proposed IF-VIKOR method is demonstrated with robot selection problem.