Zhang, L., Wang, J., Zheng, D., Che, F., Shi, C. and Mao, H. (2019) Decision-Making of Equipment Supplier Selection Based on Intuitionistic Fuzzy Entropy and VIKOR. System Engineering and Electronic Technology, No. 3, 1-10.

has been cited by the following article:

• TITLE: Supplier Selection Problem Based on Interval Intuitionistic Fuzzy Multiattribute Group Decision Making

  AUTHORS: Danyi Song, Jiao Wang

  KEYWORDS: Interval Intuitionistic Fuzzy Numbers, Multi-Attribute Group Decision Making, Fuzzy Entropy, Maximum Dispersion, VIKOR

  JOURNAL NAME: Open Journal of Business and Management, Vol.7 No.3, July 29, 2019

  ABSTRACT: Aiming at the supplier selection problem where the decision information is an interval intuitionistic fuzzy number and completely does know the attribute and decision maker’s weight, this problem is reduced to a multi-attribute group decision problem. A decision method based on information entropy to determine the decision-maker’s weight and the deviation maximization method to determine the attribute weight is proposed. Finally, this method is applied to the selection of automotive parts suppliers, and the results are compared with the relevant methods, which fully illustrates the effectiveness of this method.