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

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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)

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.

Suggested Citation

  • Ji Chen & Shouzhen Zeng & Chonghui Zhang, 2018. "An OWA Distance-Based, Single-Valued Neutrosophic Linguistic TOPSIS Approach for Green Supplier Evaluation and Selection in Low-Carbon Supply Chains," IJERPH, MDPI, vol. 15(7), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1439-:d:156863
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    References listed on IDEAS

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    Cited by:

    1. Chen Wang & Qingyan Yang & Shufen Dai, 2019. "Supplier Selection and Order Allocation under a Carbon Emission Trading Scheme: A Case Study from China," IJERPH, MDPI, vol. 17(1), pages 1-19, December.

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