A Hybrid Approach Integrating AHP and TOPSIS for Sustainable End-of-Life Vehicle Strategy Evaluation under Fuzzy Environment

Nowadays, sustainable End-of-Life vehicle (ELV) management has been recognized as the most important issue to overcome environmental and economic challenges for most companies. Hence, sustainable ELV strategies evaluation plays a crucial rule in order to improve the sustainability performance of companies. In this paper, an evaluation model based on the Fuzzy Analytic Hierarchy Process (AHP) and the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is proposed to help company managers for the selection of optimal sustainable ELV strategy in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values. Fuzzy AHP is used to determine the relative weights of the evaluation sustainable criteria and Fuzzy TOPSIS is applied to investigate the six ELV strategies. The findings indicate the usefulness of the proposed model in evaluating sustainable ELV strategies with human linguistic terms and how it simplifies the decision-making process.