Providing a comprehensive model of banking system performance evaluation using network data envelopment analysis model in non-deterministic space

Today, managers in all organizations, including banks, seek optimal utilization of various departments' available resources and capacities. Considering the emerging sales culture and customer segmentation within the comprehensive banking system, managers need to assess efficiency using conventional models in data envelopment analysis in various areas, including deposit acquisition, providing financial services to customer groups, and generating profits. This paper aims to present a fuzzy network data envelopment analysis model along with undesirable variables and shared resources to measure the efficiency of Iranian bank branches in the comprehensive banking system. This study considers a non-radial network data envelopment analysis model based on scarcity variables. Given the uncertainties and uncertainties surrounding certain variables in data envelopment analysis models in the real world, a fuzzy model based on scarcity variables, taking into account undesirable variables and shared resources, is proposed.The results indicate that the proposed model can assist industry managers in adopting various policies in different segments of the comprehensive banking process in a competitive comprehensive banking environment. The main issue that occurs in the evaluation of the performance of a comprehensive banking system in many real-world situations is that the inputs and outputs of the data envelopment analysis model are not precise and desirable. In this study, non-deterministic real-world data has been examined using network data envelopment analysis.