Sustainable Supplier Selection with Adaptive Network- Based Fuzzy Inference System (ANFİS)

Choosing the right sustainable supplier is a critical decision problem for businesses. Due to the increase in the number of competitors, the increase in evaluation criteria and the difficulty in defining evaluation criteria, the need for reliable methodologies that work with high accuracy increases as the complexity of the selection problem increases. This article discusses a new approach to the problem of sustainable supplier selection based on the Adaptive Network-Based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) methods. In the study, firstly the sustainable supplier selection criteria have been reduced to four criteria by the ANFIS method. For sustainable supplier performance evaluation, ANFIS model and ANN model were developed. Multiple regression analysis was performed to compare the performance success of both models. The model with the highest success rate was determined as ANFIS model. At the end of the study, the most suitable sustainable supplier selection was made with ANFIS model.