attracting process

Managing the process of attracting and transforming the status of faculty members of universities and higher education institutions is one of the important categories This article emphasizes that attracting expert and committed professors has a significant impact on university performance.. The purpose of the research is to analyze the performance of faculty members based on the inputs of the process of attracting and transforming the situation with the fuzzy data mining approach. Among the methods of performance analysis is data collection and analysis with data mining. The research method was using neural fuzzy data mining to analyze the performance of faculty members. This research deals with the design of neural fuzzy system to analyze the personality and performance of the faculty members recruited and converted. For this purpose, 16 personality data and 2 functional data of 1000 faculty members were recruited and transformed, firstly, they were collected, cleaned and reduced, and finally, the fuzzy neural network model was designed with machine learning methods, genetic algorithm and Ril algorithm. The implementation tool is MATLAB software. The research findings of designing a model with fuzzy neural network and Ril algorithm with the validity of high correlation coefficient and low MSE in evaluating the scientific and general competence of faculty members. From the results of the research, it is predicted that the faculty members have stable, influential, honest personality traits in general competence and extrovert, stable, influential, truthful in scientific competence to attract and transform the situation.