A Fuzzy Decision-Making Model for Supplier Selection of Logistics

For logistics industry, supplier selection is a critical decision issue. To encompass vagueness of decision messages, we utilize a fuzzy multi-criteria decision-making(FMCDM) method called fuzzy TOPSIS for modelling the supplier selection under fuzzy environment. In the decision-making model, the alternatives´ ratings and criteria weights are given in terms of linguistic values, and then transformed into triangular fuzzy numbers. By fuzzy TOPSIS, alternatives´ extreme solutions are derived, and the distance values between alternatives and extreme solutions on all criteria are calculated and merged into relative closeness coefficients. Finally, all alternatives are ranked according to their coefficients and the optimal supplier is found.