Multi-Criteria Decision-Making Approach with Interval-Valued Intuitionistic Fuzzy Assessment for Green Supplier Evaluation and Selection

Becoming climate positive is the objective businesses, which have recently started to focus on and research about to curb the ever-increasing climate challenges while being profitable efficiently. In the pursuit of integrating environmental aspects into conventional supply chains, the concepts of green supply chain and supplier selection have emerged that become increasingly complex due to current economic globalization. In this research, we have proposed a green supplier selection methodology based on a comprehensive set of criteria and interval-valued intuitionistic fuzzy assessment of alternatives for realistic decisions. The three phases of the methodology constitute pertinent criteria selection incorporating environmental and social aspect, the assessment of alternatives in an interval-valued intuitionistic fuzzy environment through an integrated multi- criteria decision-making approach comprising best-worst method (BWM) and technique for order preference by similarity to ideal solution (TOPSIS) with cosine similarity measure and finally the sensitivity analysis. We have supported the proposed methodology by illustrative example considering a real-world scenario.