Fuzzy Decision Making for Selection of Feasible Customer Support System Based on Interval Type-2 Trapezoidal Fuzzy Numbers

Muhammad Touqeer

Fuzzy Decision Making for Selection of Feasible Customer Support System Based on Interval Type-2 Trapezoidal Fuzzy Numbers

Keywords : Multi criteria decision making, interval type-2 trapezoidal fuzzy number, TOPSIS method, grey relational analysis


Abstract

This research mainly focuses on the combination of techniques for order performance by similarity to ideal solution (TOPSIS) and Grey relational analysis (GRA). The term linguistic is defined for alternatives and weights. Linguistic data is modeled in the structure of interval type-2 trapezoidal fuzzy numbers that have the tendency to attain intra-personal and interpersonal uncertainties associated with the linguistic term. The proposed strategy has the capability to solve decision-making issues and maybe resolved by using strategies that include ordinary fuzzy sets. In the last, an example has been illustrative to check the effectiveness and feasibility of the suggested method.

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