Weighting Optimization of Decision Matrix in Fuzzy TOPSIS Using SMARTER Method

Abstract

Fuzzy TOPSIS is suitable for solving decision-making problems by introducing quantity multiplication operations of triangular fuzzy number (TFN). There is a weakness in determining the weight value in weighting phase of fuzzy TOPSIS. Determination of the weight value calculated by the normalized matrix value requires a relatively better technique to obtain optimal results. In this study to get the optimal value, the weighting stage used the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method. SMARTER is able to optimize the weighting value before proceeding to the next stage.