Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

Guiwu Wei, Cun Wei, Jiang Wu and Hongjun Wang
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Guiwu Wei: School of Business, Sichuan Normal University, Chengdu 610101, China
Cun Wei: School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
Jiang Wu: School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
Hongjun Wang: School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China

IJERPH, 2019, vol. 16, issue 24, 1-15

Abstract: In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to acquire the final ranking result of a medical consumption product supplier. Additionally, so as to indicate the applicability of the devised method, this model is confirmed by a numerical case for the supplier selection of medical consumption products. Some comparative studies are made with some existing methods. The proposed method can also successfully select suitable alternatives in other selection problems.

Keywords: multiple attribute group decision making (MAGDM); probabilistic linguistic term sets (PLTSs); MABAC method; CRITIC method; combined weights; medical consumption products; supplier selection (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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