Ranking performance of modified fuzzy TOPSIS variants based on different similarity measures

摘要: Fuzzy TOPSIS has been widely used in solving multi criteria decision making problems. The performance of is dependent on its ability to rank alternatives thus enables makers reach more accurate decisions. Three main steps the algorithm include weights determination, calculation similarity between and also closeness coefficient measurements for terms negative positive ideals. Enhancement at any these three major would lead a ranking alternatives. This paper highlights five (5) variants TOPSIS. done by applying different techniques calculating similarities and/or differences In all constructed, data are similar original proposed Chen (2000). Thus, difference solely due when measures were utilized. final observed analyzed. finding shows that four consistent findings reported other research. could be formulation since each measure technique developed based concept find two fuzzy numbers determined involved this reflected Hence, it can said calculations have significant impact process via