An OWA Distance-Based, Single-Valued Neutrosophic Linguistic TOPSIS Approach for Green Supplier Evaluation and Selection in Low-Carbon Supply Chains

Ji Chen, Shouzhen Zeng and Chonghui Zhang
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Ji Chen: College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Shouzhen Zeng: School of Business, Ningbo University, Ningbo 315211, China
Chonghui Zhang: College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China

IJERPH, 2018, vol. 15, issue 7, 1-15

Abstract: This paper presents a technique based on the ordered weighted averaging (OWA) distance for the single-valued neutrosophic linguistic (SVNL) technique for order preference by similarity to an ideal solution (TOPSIS). First, the inadequacies of the existing SVNL TOPSIS are analyzed in detail. Second, a SVNL OWA distance (SVNLOWAD) measure is presented, and based on this, a modified TOPSIS, termed the SVNLOWAD-TOPSIS, is developed for multiple attribute decision-making problems with SVNL information. Third, a revised relative coefficient is proposed to rank potential alternatives. Finally, a numerical example concerning green supplier selection in low-carbon supply chains is introduced to demonstrate the effectiveness of the model.

Keywords: single-valued neutrosophic linguistic set; OWA operator; TOPSIS; multiple attribute decision-making; green supplier selection (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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