An Effective Supplier Selection Method with Intuitionistic Fuzzy Information

The aim of this paper is to investigate the multiple attribute decision making problems to deal with the supplier selection in supply chain management with intuitionistic fuzzy information, in which the information about attribute weights is completely known, and the attribute values take the form of intuitionistic fuzzy numbers. TOPSIS method with intuitionistic fuzzy information is proposed. Then, based on the traditional TOPSIS method, calculation steps for solving intuitionistic fuzzy multiple attribute decision-making problems with known weight information are given. The weighted Hamming distances between every alternative and positive ideal solution and negative ideal solution are calculated. Then, according to the weighted Hamming distances, the relative closeness coefficient to the positive ideal solution is calculated to rank all alternatives. Finally, an illustrative example about supplier selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.