Supplier selection is a fundamental issue of supply chain area that heavily contributes to the overall supply chain performance, and,\r\nalso, it is a hard problem since supplier selection is typically a multicriteria group decision problem. In many practical situations,\r\nthere usually exists incomplete and uncertain, and the decision makers cannot easily express their judgments on the candidates with\r\nexact and crisp values. Therefore, in this paper an extended technique for order preference by similarity to ideal solution (TOPSIS)\r\nmethod for group decision making with Atanassov�s interval-valued intuitionistic fuzzy numbers is proposed to solve the supplier\r\nselection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each\r\ndecision maker and in many of them the weights of criteria are predetermined, but these weights have been calculated in this paper\r\nby using the decision matrix of each decision maker. Also, the normalized Hamming distance is proposed to calculate the distance\r\nbetween Atanassov�s interval-valued intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to\r\nclarify the main results developed in this paper.
Loading....