Picture模糊数的改进得分函数在多属性群决策中的应用OA北大核心CSTPCD

The multi-attribute group decision-making problem with unknown experts and attribute weight information in picture fuzzy environment was explored in this paper.Firstly,a new score function of picture fuzzy numbers was proposed to solve the shortcomings of the existing score functions.We analyzed its relevant properties and compared it with the existing ones.It showed that it is more reasonable and can deal with fuzzy decision information better.Secondly,a multi-attribute group decision-making method based on the new score function was proposed in picture fuzzy environment.According to the inaccuracy of picture fuzzy evaluation information given by each expert and the difference of information given by different experts,the weights of decision makers were obtained from both individual and group perspectives.The new score function was used to construct the grey target contribution degrees of different attributes to determine the attribute weights.Finally,the feasibility and effectiveness of the proposed method were verified by comparison and analysis of examples.