Abstrato

Model for evaluating the industrial structure optimization in Hunan Province

Meizhen Xiong

In this paper, we investigate the multiple attribute decision making problems for evaluating the industrial structure optimization industrial structure optimization in Hunan Province in the intuitionistic fuzzy setting. An optimization model based on the ideal solution and min-max operator is established to determine the attribute weights. We utilize the intuitionistic fuzzy weighted averaging (IFWA) operator to aggregate the intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one (s) according to the correlation coefficient. At last, an illustrative example for for evaluating the industrial structure optimization industrial structure optimization in Hunan Province with intuitionistic fuzzy information is given to verify the developed approach and to demonstrate its practicality and effectiveness.