Fuzzy Hybrid Decision Model for FMS Evaluation and Selection based on GRA-TOPSIS Method
نویسندگان
چکیده
The aim of this paper is to present a hybrid group decision model for evaluating flexible manufacturing systems(FMSs), in which the information about attribute weights is completely unknown, and the attribute values take the form of triangular fuzzy numbers. In this proposed methodology, the voting method is adopted to calculate the attribute weights by aggregating the decision-makers’ attitudes and preferences on weights of each attribute. Then grey relational analysis(GRA) is combined with the concepts of TOPSIS to evaluate and select the best FMS from a set of alternatives. An illustrative example is given to demonstrate the practicality and feasibility of the proposed group decision model. The comparative study results showed that this model is an effective means for tackling FMS evaluation problems under fuzzy environment. Finally, a sensitivity analysis is performed to show the robustness of the model. Keywords—flexible manufacturing system, hybrid group decision model, the voting method, grey relational analysis(GRA), TOPSIS, sensitivity analysis
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