Interactive group decision making procedure based on uncertain multiplicative linguistic preference relations

作     者：Zeshui Xu1,2,1.College of Economics and Management,Southeast University,Nanjing 210096,P.R.China 2.Institute of Sciences,University of Science and Technology of the PLA,Nanjing 210007,P.R.China 

作者机构：College of Economics and Management Southeast University Nanjing 210096 P. R. China Institute of Sciences University of Science and Technology of the PLA Nanjing 210007 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2010年第21卷第3期

页      面：408-415页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 

基　　金：supported by the National Natural Science Foundation of China (70571087) the National Science Fund for Distinguished Young Scholars of China (70625005) 

主　　题：group decision making uncertain multiplicative linguistic preference relations unbalanced multiplicative linguistic label set consensus degree interaction. 

摘      要：Group decision making problems are investigated with uncertain multiplicative linguistic preference *** unbalanced multiplicative linguistic label set is introduced,which can be used by the experts to express their linguistic preference information over *** uncertain linguistic weighted geometric mean operator is utilized to aggregate all the individual uncertain multiplicative linguistic preference relations into a collective one,and then a simple approach is developed to determine the experts＇ weights by utilizing the consensus degrees among the individual uncertain multiplicative linguistic preference relations and the collective uncertain multiplicative linguistic preference ***,a practical interactive procedure for group decision making is proposed based on uncertain multiplicative linguistic preference relations,in which a possibility degree formula and a complementary matrix are used to rank the given ***,the proposed procedure is applied to solve the group decision making problem of a manufacturing company searching the best global supplier for one of its most critical parts used in assembling process.