Impact of Religious Attitudes and Job Stress on Organizational Success with Fuzzy Neural Networks Approach (Case Study: Private And Public Hospitals In Tehran)

Nowadays، organizations deal with complexity، ambiguity and dynamics and are consequently under the influence of environmental factors requiring suitable behavior. O ne of the important factors in organizational survival is the success in achieving the goals. In the current study، which was an attempt to identify the human factors of religious attitude and job stress a prediction model of success was designed. In this descriptive analytic study، fuzzy neural networks approach was applied to overcome the complexities inherent in the study of organizational success. Moreover، MATLAB software was used to design a fuzzy prediction model. A questionnaire for data collection and MATLAB software to design fuzzy prediction model were used. It was found that the optimal number of the type of membership function was five. The low error rate (0. 000003) showed that the ANFIS model was suitable for the prediction of organizational success. The results showed that religious attitudes and job stress were the determining factors affecting organizational success. The results indicate that there is a direct and significant relationship between religious attitudes and organizational success. However، stress، at its intermediate level، has the most positive effect and at its low or very high level (s)، leads to a reduction in organizational success.