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一种基于Vague集的多属性群决策排序方法及其应用
引用本文:孙丽,毛军军,贾静丽,张小霞.一种基于Vague集的多属性群决策排序方法及其应用[J].阜阳师范学院学报(自然科学版),2011(2):4-7.
作者姓名:孙丽  毛军军  贾静丽  张小霞
作者单位:安徽大学数学科学学院;安徽大学计算智能与信号处理教育部重点实验室;
基金项目:国家自然科学基金(61073117); 安徽大学学术创新团队基金(KJTD001B); 安徽高等学校青年基金项目(2011SQRL186); 安徽大学人才队伍建设经费资助
摘    要:针时Vague值的多属性群决策排序问题,提出了一种新的得分函数.定义了Vague值的贴近度,并结合信息集成算予和专家权重,进而提出了一种新的群决策排序方法,本文应用实例证明了该方法的合理性和实用性.

关 键 词:Vague集  得分函数  相似度  贴近度  多属性群决策

Ranking method and application based on vague set for multi-attribute group decision-making
SUN Li,MAO Jun-jun,JIA Jing-li,ZHANG Xiao-xia.Ranking method and application based on vague set for multi-attribute group decision-making[J].Journal of Fuyang Teachers College:Natural Science,2011(2):4-7.
Authors:SUN Li  MAO Jun-jun  JIA Jing-li  ZHANG Xiao-xia
Institution:SUN Li1,MAO Jun-jun1,2,JIA Jing-li1,ZHANG Xiao-xia1 (1.School of mathematical sciences,Anhui University,Hefei Anhui 230039,China,2.Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education,China)
Abstract:Aimed at the ranking problem of multi-attribute group decision-making for vague values,a new score function is proposed.The close degree of vague values is defined,combining with the information aggregation operators and experts' weights,and then a new method for ranking group decision-making is given.Finally,reasonability and practicality of the above method has been verified by analyzing an applied example.
Keywords:vague set  score function  similarity degree  close degree  multi-attribute group decision-making  
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