Presenting an artificial intelligence model based on fuzzy-hierarchical logic in order to measure the impact of organizational factors on Sepah Bank's investment deposit and assets by generalizing systems of simultaneous equations

The use of artificial intelligence techniques and methods in improving evaluations and reducing computational accuracy is one of the most important capabilities in the field of computer application in various sciences, which is a strategic strategic approach, especially in financial resource management, investment and science. Economic is used. It will be much more efficient when computational models are based on several different variables. Because in a strategic investment management at the intra-organizational and macroeconomic level, especially banks, the smallest calculation errors will have serious financial consequences. For this purpose, the present study has been prepared in three stages of data collection, data measurement and preparation of evaluation models. In the data collection stage, an exploratory method (descriptive-survey) was used to collect information (data related to the financial balance sheets of Sepah Shahr Bank of Tehran and the Central Bank consisting of 17 branches) which after extracting the criteria by expert personnel. (Including 50 specialists) has been evaluated. After measuring the data, these data were classified and then analyzed by Fuzzy-AHP model for data analysis. The results show that variables such as real per capita income, number of branches and size of banks have a positive effect on bank deposits and inflation has a negative and significant effect on it, which indicates an increase in inflation leading to devaluation, hot money creation. And the outflow of money from banks and its conversion into capital assets and eventually the reduction of bank deposits will have a direct impact on GDP and capital.