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Qualitative criteria for assessing green supply chain management (GSCM) performance are influenced by uncertainty, essentially due to the vagueness intrinsic to the evaluation of qualitative factors. This paper aims to decrease the uncertainty which is caused by human judgments in the process of GSCM performance evaluation employing linguistic terms and degrees of membership. In this study, a fuzzy set theory approach has been proposed for handling the linguistic imprecision and the ambiguity of human being’s judgment. It also pioneers applying the fuzzy inference system for evaluating GSCM performance of companies in terms of green criteria. In the proposed model, human reasoning has been modeled with fuzzy inference rules and has been set in the system, which is an advantage when compared to the models that combine fuzzy set theory with multi-criteria decision-making models. To …