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

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.

Automated summary

Probabilistic uncertain linguistic sets (PULTSs) are commonly used in Multi-Attribute Decision Making (MADM) or Multi-Attribute Group Decision Making (MAGDM). The CODAS method aims to select the optimal choice with the largest Euclidean and Hamming distances from the NIS. This paper presents the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight and validates it with a numerical example for green supplier selection.