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Open AccessArticle

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

1
College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
2
School of Business, Ningbo University, Ningbo 315211, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(7), 1439; https://doi.org/10.3390/ijerph15071439
Received: 31 May 2018 / Revised: 26 June 2018 / Accepted: 6 July 2018 / Published: 8 July 2018
(This article belongs to the Special Issue Operations and Innovations for the Environment)
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. View Full-Text
Keywords: single-valued neutrosophic linguistic set; OWA operator; TOPSIS; multiple attribute decision-making; green supplier selection single-valued neutrosophic linguistic set; OWA operator; TOPSIS; multiple attribute decision-making; green supplier selection
MDPI and ACS Style

Chen, J.; Zeng, S.; Zhang, C. An OWA Distance-Based, Single-Valued Neutrosophic Linguistic TOPSIS Approach for Green Supplier Evaluation and Selection in Low-Carbon Supply Chains. Int. J. Environ. Res. Public Health 2018, 15, 1439.

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