Affiliations: [a] School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China | [b] School of Business, Sichuan Normal University, Chengdu, P.R. China | [c] School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China | [d] School of Finance, Southwestern University of Finance and Economics, Chengdu, China
Correspondence:
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Corresponding author. Fan Lei, School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China. E-mail: [email protected].
Abstract: Probabilistic uncertain linguistic sets (PULTSs) have extensively been employed in multiple attribute group decision making (MAGDM)problem. The QUALIFLEX method, which is relatively a novel MAGDM technique, aims to obtain the optimal alternative. This paper proposes the probabilistic uncertain linguistic QUALIFLEX (PUL-QUALIFLEX) method with CRITIC method. To show the effectiveness of the designed method, an application is given for green supplier selection and the derived results are compared with some existing methods. Thus, the advantage of this proposed method is that it is simple to understand and easy to compute. The proposed method can also contribute to the selection of suitable alternative successfully in other selection issues.
Keywords: Multiple attribute group decision making (MAGDM), probabilistic uncertain linguistic term sets (PULTSs), CRITIC method, QUALIFLEX method, green supplier selection
