GREEN SUPPLIER SELECTION BASED ON CODAS METHOD IN PROBABILISTIC UNCERTAIN LINGUISTIC ENVIRONMENT-Reference-Cited by-同舟云学术

GREEN SUPPLIER SELECTION BASED ON CODAS METHOD IN PROBABILISTIC UNCERTAIN LINGUISTIC ENVIRONMENT

Published:2021-02-05 Issue:3 Volume:27 Page:530-549
ISSN:2029-4913
Container-title:Technological and Economic Development of Economy
language:
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Author:

Wei Cun¹,Wu Jiang²,Guo Yanfeng³,Wei Guiwu⁴

Affiliation:

1. School of Statistics, Southwestern University of Finance and Economics, 611130 Chengdu, P.R. ChinaSchool of Statistics, Southwestern University of Finance and Economics, 611130 Chengdu, P.R. China

2. School of Statistics, Southwestern University of Finance and Economics, 611130 Chengdu, P.R. China

3. School of Finance, Southwestern University of Finance and Economics, 610074 Chengdu, P.R. China

4. School of Business, Sichuan Normal University, 610101 Chengdu, P.R. China

Abstract

Probabilistic uncertain linguistic sets (PULTSs) have widely been used in MADM or MAGDM. The CODAS method, which is a novel MADM or MAGDM tool, aims to acquire the optimal choice which have the largest Euclidean & Hamming distances from the NIS. This paper designs the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight. Finally, a numerical example for green supplier selection is given and the obtained results are compared with some existing models.

Publisher

Vilnius Gediminas Technical University

Subject

Finance

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