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《Mathematics in Practice and Theory》 2013-01
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Method to the Assessment Level of Experts in Multi-attribute Group Decision Making Based on Vague Set Information

CHEN Yan~1,ZHANG Ning~1,CHEN Xia~2 (1.School of Science,Shenyang University of Technology,Shenyang 110870,China) (2.School of Automation,Shenyang Aerospace University,Shenyang 110136,China)  
With respect to the assessment level of experts in multi-attribute group decision making based on vague set information,two methods are proposed.First,the concept about multi-attribute group decision making information body(namely,group decision making information body) is introduced.Then by the group decision making information body, consistent decision matrix and fuzzy entropy based on vague set information are both constructed. Second,by two uncertainty measurement approaches of the similarity measure and fuzzy entropy based on vague set information,two methods on the assessment level of experts in multi-attribute group decision making are put forward,namely statistic analysis and fuzzy entropy analysis,then rank the assessment level of experts.In the end,an example is used to illustrate the coherence,effectiveness and utility of the two methods.
【Fund】: 辽宁省教育厅高等学校科学研究项目(20080506)
【CateGory Index】: TP18;O225
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