Green Manufacturing Evaluation Using Intuitionistic Trapezoidal Fuzzy DEMATEL Method

Abstract

Green Manufacturing (GM) promotes environmentally responsible production practices that minimize waste, energy consumption, and ecological impact while sustaining product quality and profitability. However, existing decision-making methods such as fundamental Decision-Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy DEMATEL often exhibit limitations in handling uncertainty, vagueness, and hesitation in expert evaluations, resulting in less accurate causal analysis. Therefore, a more robust approach is needed to effectively model such ambiguity in assessing interrelated GM factors. This study proposes an Intuitionistic Trapezoidal Fuzzy DEMATEL (ITF-DEMATEL) model to evaluate the key factors influencing GM adoption. The ITF-DEMATEL integrates intuitionistic and trapezoidal fuzzy theories to more accurately represent uncertainty and expert hesitation in complex decision contexts. Eight influential factors were analyzed: leadership dedication and support, company policies, influence from peer governments, social influence, customer characteristics, green supply chain management, government support, and integration of novel methods. The results reveal that leadership dedication and support is the most important criterion, while government support is the most influential factor. Comparative analysis with fundamental DEMATEL and fuzzy DEMATEL reveals that the proposed ITF-DEMATEL improves ranking stability, causal differentiation, and interpretive reliability, offering valuable insights for sustainable manufacturing decision-making.