摘要
群体决策模型用于支持系统或专家系统，面临的两个问题是：自然语言与机器语言的匹配以及模型解与决策者意向交融．本文在许多学者大量工作的基础上，试图提出群决策的软化求解模型．主要提出两方面的结果：一是多准则语言偏好的综合；二是采用模糊匹配方法和语言变量的软算法将个人语言偏好聚集为群体可接受决策解．最后给出实例计算以说明操作步骤．
The models of group decision making used for GDSS and intelligence systems are faced with two problems: the first is match between natural language and computer language, and the second is copulation between model solution and DMs aspiration. In this paper, based on works of many authors, we propose a model of the soft solution for group decision making, and give results on two aspects: (1) a synthesis for preferences represented by linguistic variable under multicriteria is developed; (2) a structure for aggregating individual preferences represented in fuzzy terms into fuzzy group preferences and acceptable solving for group decision making is studied. At last, an example to illustrate operating process is raised. This model is useful to man machine interaction in GDSS or supported system for the small group conference.
出处
《系统工程学报》
CSCD
1996年第4期53-60,共8页
Journal of Systems Engineering
基金
江西省自然科学基金
关键词
群决策
语言偏好
语言变量
决策
group decision making, language preference, linguistic variable, soft solution
