Designing a model for evaluating the performance of decision maker units with a combined approach of data envelopment analysis and fuzzy inference system(Case study: higher education institutions)

Today's complex environment confronts organizations with the constant challenge of achieving their goals. The existence of a performance appraisal system to monitor the performance of the organization in achieving goals is inevitable. Organizations in today's competitive environment are successful in putting their performance appraisal on the agenda with high accuracy. Therefore, the main purpose of this paper is to provide an integrated model to evaluate the performance of decision-making units with appropriate resolution. The research has a descriptive-explanatory aspect in terms of method. In terms of research orientation, it is developmental and has used survey strategies. The statistical population includes university experts in Semnan, 57 of whom were randomly selected. Data collection tool has made two researcher-made questionnaires whose content validity and structure based on experts' opinion and factor analysis and their reliability based on Cronbach's alpha value more than 0.7 have been confirmed. Fuzzy inference rules based on the opinion of five experts University selection was compiled. "Data Envelopment Analysis" was also used to evaluate the performance of the mathematical planning approach. Findings show that the resolution of decision-making units in the proposed model is more appropriate than conventional approaches to integrating indicators.