摘要
在处理直觉模糊多属性群决策问题时,可根据D-S证据理论完成信息的集结。利用直觉模糊熵和模糊偏好关系确定权重,通过加权-证据融合的方法得到专家对方案集的融合证据。在专家信息集结方面,结合欧氏证据距离求解证据间的冲突度,得到专家权重,并将群体专家对方案集的证据信息进行修正和融合。最后结合算例证明了所提方法具有很高的实用价值。
When dealing with the intuitionistic fuzzy multi-attribute group decision-making problem,the information aggregation can be completed according to the D-S evidence theory.The weights are determined by using the intuitionistic fuzzy entropy and fuzzy preference relationship.Weighted-evidence fusion method is used to obtain the expert’s fusion evidence for the solution set.In the expert information aggregation,the Euclidean evidence distance is used to solve the degree of conflict between the evidences,and the expert weights are obtained.Evidence information of group experts on program sets are corrected and integrated.Finally,combined with examples,it is proved that the proposed method has high practical value.
作者
臧翰林
李艳玲
ZANG Han-lin;LI Yan-ling(Rocket Force University of Engineering,Xi’an 710025,China)
出处
《计算机科学》
CSCD
北大核心
2019年第B06期102-105,共4页
Computer Science
关键词
多属性群决策
D-S证据理论
模糊偏好关系
欧氏证据距离
冲突度
Group decision-making of multi-attribute
D-S evidence theory
Fuzzy preference relation
Euclidean evidence distance
Degree of conflict
