Design an intelligent model for corporate control strategies

Companies' efforts to gain more market share and maintain survival have made the integration of companies to use each other's ability as a parent company. One of the main concerns of the parent company is how to control the subsidiary businesses. The present study has been carried out by purpose of design an intelligent model for corporate control strategies with emphasis on the interaction of the parent company with subsidiaries in Holding TAPIKO. This research is applied in terms of purpose and in terms of method, descriptive-follow-up research. Research data includes documentation received from literature and indexed articles in Scopus and Science Direct, as well as semi -structured interviews. First, using qualitative content analysis methods of interviews and articles were coded in maxqda2020 software, 28 sub -categories in the form of 8 short -term profitability categories, long -term profitability, distinctive capability, market trends, fitness, company size, power size, power Politically identified. The following comments were used to identify the coefficients of the importance of components and write fuzzy rules, and were designed using MATLAB software and fuzzy inference system (FIS), which included 31 fuzzy rules. The model was implemented in 3 modes of cellulose, tires as well as petrochemicals. The results of the research for cellulose and tire companies indicate less financial control strategy and interference, and for petrochemical subsidiaries, it shows strategic control and greater interference by the maternal firm. The result of validation review through Surface analysis also indicates the appropriate model validity of the model.