关键词: 大群体多属性决策, 云模型, 相似度, 专家权重

Abstract: Traditional multi attribute decision making method for large group of uncertainty only considers the burring of decision information, and does not consider the randomness of the information. To solve this problem, a multi attribute decision making method based on cloud model is proposed to solve large group decision making by multiple groups. Firstly, the uncertain linguistic values are converted into the one-dimension normal clouds. After that, the subjective and objective weight determination method based on the decision maker’s subjective determination and consistency analysis are used to determine the small group weights for different decision objects. Then, on this basis integrated cloud is generated; Afterward an improved method of cloud similarity is proposed to measure the distance of cloud models. The order of alternatives can be listed by calculating the similarity between the integrated cloud and optimal cloud. Finally, a practical example is put forward to validate the performance of the proposed method.

Key words: large group multi attribute decision making, cloud model, similarity measurement, expert weight