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《Journal of Jiangxi Normal University(Natural Science Edition)》 2018-03
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The Multi-Attribute Group Decision Making Model Based on Probabilistic Linguistic Correlation Coefficient

MAO Xiaobing;WU Min;SHANG Na;College of Information Management,Jiangxi University of Finance and Economics;  
To solve the multi-attribute group decision making problem with probabilistic linguistic evaluation information,in which the decision makers'( DMs') weights and the attribute weights are completely unknown,a multi-attribute group decision making model based on probabilistic linguistic correlation coefficient is proposed. Firstly,probabilistic linguistic correlation coefficient of PLTSs is defined and extended to probabilistic linguistic matrices.Then based on the decision matrices of DMs,the attribute weights of each DM are obtained by minimizing the sum of weighted correlation coefficients of PLTSs. Further,DNMs' weights are determined objectively by computing the correlation coefficient of probabilistic linguistic matrices. Finally,the classical ELECTRE method is improved and used for ranking alternatives. Moreover,the case study and comparative analysis are conducted to show the effectiveness and advantages of the proposed method.
【Fund】: 国家自然科学基金(71774073);; 江西省2016年度研究生创新专项资金(YC2016-S241);; 江西财经大学2017年度研究生创新专项资金(23)资助项目
【CateGory Index】: O225
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