一种基于模糊距离和证据理论的多属性群决策方法  

A Method of Multi-Attribute Group Decision Making Based on Fuzzy Distance and Evidence Theory

作　　者：杨婷[1,2] 左春荣[1,2] 

机构地区：[1]合肥工业大学管理学院,合肥230009 [2]教育部过程优化与智能决策重点实验室,合肥230009

出　　处：《价值工程》2009年第7期8-11,共4页Value Engineering

基　　金：国家自然科学基金资助项目(70471046)

摘　　要：针对语言评价信息形式的多属性群决策问题,提出了一种基于模糊距离和D-S证据理论的群决策方法。该方法首先运用基于模糊距离的方法来获得决策者权重,再对多个决策者给出的语言评价信息进行分析,然后通过D-S合成法则对其值进行合成。计算信度函数和似真函数,据此对所有决策方案进行排序。最后通过一个算例验证该方法的可行性和有效性。A new decision making approach based on fuzzy distance and evidence theory is proposed for the multi-attribute group decision making problem with linguistic assessment information. Based on the fuzzy distance, the weights of decision makers are established first. Then, the values by analyzing the linguistic assessment information given by decision makers are integrated by D-S rule of combination. Finally, the values of belief function and plausibility function can be calculated and used to rank all decision alternatives. An example is used to illustrate the validity and the application of the method.

关 键 词：模糊距离 专家权重 证据理论 多属性群决策 

分 类 号：C934[经济管理—管理学]