A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT

Sustainable supplier selection (SSS) has become an essential task for decision-makers in competitive environments. We construct a new decision-making framework SSS. First, classical SSS usually includes fixed factors environmental, social and economic dimensions. Differently, we adopt from credit perspective with corporate system being promoted vigorously by the Chinese government. Next, employ probabilistic linguistic term sets (PLTSs) to collect experts’ judgments about interactive influence between factors. Third, combine PLTSs Decision Making Trial Evaluation Laboratory (DEMATEL) method identify critical success (CSFs) improving efficiency. And also give definition relative importance degree, standard deviation of degree reflect To eliminate subjective influence, entropy weighting approach DEMATEL compute weights. Fourthly, redefine dominance apply it into TODIM Finally, proposed framework’s effectiveness is verified using case study energy vehicle (NEV) company. Based on this, sensitivity analysis comparison methods are conducted. The results verify that valid effective