Economy Green Supplier Selection Based on Improved Intuitionistic Fuzzy TOPSIS Model

Green supplier selection is an important part of green supply chain management. To improve the validity and reliability of green supplier selection, this paper constructed a model based on the improved intuitionistic fuzzy TOPSIS. Firstly, the concepts of intuitionistic fuzzy set and intuitionistic fuzzy number were given, and a series of algorithms and aggregation operators were defined; on the basis of considering hesitation degree, a new improvement was made on the existing intuitionistic fuzzy set measure. Then, this paper picked out several evaluation indexes based on the existing literatures and the development characteristics of the logistics industry, built an evaluation index system to meet the enterprise demand, meanwhile, extended the traditional TOPSIS and constructed green supplier selection model based on intuitionistic fuzzy TOPSIS theory. Finally, we proved the decision-making model was easy to operate and effective by an example. The result shows the model can effectively solve the problem of supplier selection under the uncertainty condition. The sensitivity training analysis result carried out by perturbation simulation to the evaluation index weight also shows that the improved model has good stability.