The Mixed Multi-attribute Group Decision Making Method with Preference Information

The aim of this study was to solve the problems of mixed multi-attribute group decision, which have the interval-valued, linguistic and interval-valued intuitionistic fuzzy number. As a solution to this problem, we propose a decision-making method that the decision maker weight was unknown, however, the attribute weight was known as well as the score function with transformation parameters. Firstly, conversion formula was used to make the mixed evaluation information unified transformed to the interval-valued intuitionistic fuzzy number. Furthermore, the decision maker and attribute weight were determined by the interval-valued intuitionistic fuzzy numbers distance and expectation values. Under the instruction of intuitionistic fuzzy weighted averaging operator, decision maker weight and attribute weight, we aggregated the individual decision making matrix and scheme different attribute successively. Additionally, we also made the dynamic scheduling analysis by the score function with transformation parameter. Finally, this method feasibility was testified by the example solving.