Fuzzy Topsis Algorithm for Multi Criteria Decision Making with Application of Marketing Mix Under Α-cut

Shahin Saeednamaghi & Assef Z

Abstract

The aim of this paper is to express the importance of a fuzzy TOPSIS (Technique for Ordering Preference by Similarity to Ideal Solution) model with the components of Marketing Mix for Multi Criteria Decision Making (MCDM) problem. In this paper the weight of each alternative and the weight of each criterion are described by linguistic in positive trapezoid fuzzy numbers. A α-cut method is proposed to calculate a closeness coefficient for the rating of all alternatives from fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS). Finally, a numerical method demonstrates the possibility of the proposed method.