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

作者：Chen, Ji; Zeng, Shouzhen^*; Zhang, Chonghui

来源：International Journal of Environmental Research and Public Health, 2018, 15(7): 1439.

DOI：10.3390/ijerph15071439

• single-valued neutrosophic linguistic set
• OWA operator
• TOPSIS
• multiple attribute decision-making
• green supplier selection

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.

• 出版日期2018-7
• 单位浙江工商大学; 宁波大学