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基于群组满意度最大的区间偏好信息集结
Aggregating of Interval Number Judgment Matrixes with Maximum Satisfaction
【摘要】 研究群决策中区间数判断矩阵偏好信息的集结问题。针对区间数互反判断矩阵和区间数互补判断矩阵,构造了个体满意度函数,并讨论了满意度与一致性以及群组满意度和群组共识之间的关系,最后还给出了基于群组满意度最大的相对熵最优化偏好集结模型以及应用算例。
【Abstract】 The aggregation problem about the group preference information of interval number judgment matrices is studied.The function of degree of DM’s satisfaction is constructed.The relevant propertied of it is discussed on.The assessment of the group priorities is formulated as a relative entropy optimal model,maximizing the group’s overall satisfaction.Finally a numerical example is given to show the feasibility and effectiveness of the proposed approach.
【关键词】 群决策;
区间偏好信息;
满意度;
集结;
【Key words】 Group Decision-making; Interval Preference Information; Degree of Satisfaction; Aggregation;
【Key words】 Group Decision-making; Interval Preference Information; Degree of Satisfaction; Aggregation;
【基金】 山东省自然科学基金资助项目(Y2005A04)
- 【文献出处】 系统工程 ,Systems Engineering , 编辑部邮箱 ,2006年11期
- 【分类号】C934;O223
- 【被引频次】27
- 【下载频次】434