Fuzzy inference system in sustainable supplier

Nowadays, businesses focus on sustainable supply chain management to gain economic, environmental, and social benefits. In reference to the criteria determined, selecting sustainable suppliers for the three dimensions of sustainability and for the companies operating in different sectors from these dimensions enables the business to become stronger in the market. In this study, sustainable supplier selection criteria were classified as quantitative and qualitative using the information obtained from the literature research. Later, by comparing Dickson's criteria with Ghoushchi's criteria, Dickson's criteria were classified within the framework of triple bottom line. The solution to the sustainable supplier selection problem of a business that produces sustainable agricultural machines in Turkey using criteria selected from the classification was performed with Mamdani-type fuzzy inference system.