Supplier Selection Based on Uncertain Linguistic Information

In the existing supplier selection methods, the solution is dependent on the opinions of experts. Thus, it needs to deal with the uncertain and fuzzy judgments made by experts. To solve this problem, based on uncertain linguistic information, a logistic service supplier selection method is put forward in this paper. By this method, uncertain linguistic variables are used to represent experts evaluation information such that the decision information can be preserved. With the uncertain linguistic variables, an attribute weighted optimization model of logistics service quality evaluation is developed. This model is solved by using Lagrange function such that the weights of attributes are determined. Then, by using the uncertain linguistic weighted geometric(ULWG) operator，the expert judgment information is collected such that we can order the candidate suppliers according to the objectives. A case study from a corporation is presented to show the application and the effectiveness of the proposed method.