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针对多属性大群体决策信息的模糊性以及属性差异性问题,提出一种基于属性多粒度的区间二元语义大群体决策方法.首先,依据决策成员偏好将大群体进行聚类,形成偏好聚集结构,考虑到各聚集中决策成员对所处聚集一致性的贡献不同,以及不同聚集的偏好对于群体偏好的贡献不同,提出双层权重模型;其次,利用扩展的可能度公式对各聚集内决策成员的权重进行确定,利用模糊熵确定各个聚集的权重;再次,结合模糊相对熵和优劣解距离法(TOPSIS)得到决策方案的排序;最后,通过案例的分析与对比验证了所提出方法的有效性和适用性.
Aiming at the fuzziness and attribute difference of multi-attribute large group decision-making information, a large-group decision-making method based on attribute multi-granularity is proposed.First, according to the preferences of decision-making members, large groups are clustered to form the preferred aggregation structure , Taking into account the contribution of decision members in each aggregation to the consistency of aggregation, and the contribution of different aggregation preferences to the preference of groups, a two-level weight model is proposed. Secondly, the extended probability formula is used to evaluate the decision- The fuzzy entropy and TOPSIS are used to get the ranking of the decision-making schemes. Finally, the effectiveness of the proposed method is verified through case analysis and comparison Sexuality and applicability.