Visualization of Social Capital Knowledge Based on a Pathology in the Education System Using a Fuzzy Approach

This research aims to depict the knowledge of social capital based on pathology in the education system using a fuzzy approach. In terms of approach, it is mixed research, and in terms of method, it used theme analysis and fuzzy analysis. The study population was university professors and managers in the general education departments. Through purposeful sampling, based on criteria, the target sample was selected and sampling continued until the theoretical saturation of the data was reached. Therefore, the participants in the research included 12 professors and administrators. The data collection tool in this research is a semi-structured interview. In the fuzzy part, a researcher-made paired questionnaire was also used. In this research, the questionnaire of paired comparisons with a spectrum of 1-9 hours was used. Nvivo software was used in the thematic analysis. In fuzzy analysis, the hierarchical technique was used in MATLAB software. 70 sub-categories and 13 core categories were identified, each of which was located in different classes. Individual factors, structural factors, educational factors, managerial factors, solidarity and cohesion, social and family factors, institutional factors, collaborative factors, educational, cultural, and ideological policies, network relations, job satisfaction, and valuing social status as categories.