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本文在作者文献［７］的基础上，集中探讨模糊语言偏好下群体决策的间接求解软技术．首先给出两个模糊集间的符合度及其熵等概念，并采用这两种方法构造模糊语言偏好集结的软技术．接下去应用模糊期望和模糊语言多数的技术，给出群体决策间接解的生成技术；最后给出实例计算说明．该模型主要特点是以熵作准则，以符合度作为尺度，形成群决策的间接求解方法
Based on the author’s paper [7], this paper focuses on the indirect solu-tion technique of group decision-making under fuzzy language preference. Firstly, the conceptions of coincidence degree and entropy between two fuzzy sets are given, and the soft techniques of fuzzy language preference assembly are constructed by these two methods. Next, we apply the techniques of fuzzy expectation and vague language, and give the generating technique of indirect solution to group decision-making. The main features of this model are entropy as criterion and degree of coincidence as a criterion to form an indirect solution to group decision making