Hasib Intelligent systems are produced based on multiple analyses and multiple state predictions. These systems, based on a knowledge base and using several intelligent agents, try to analyze with high sensitivity so that they form a comprehensive whole, a multi-emotional intelligent system. These systems are self-learning and provide new analyses based on new findings. The results are also fuzzy using linguistic terms and presented in an understandable way for managers. For example, when the Altman model is used to predict the future state of an organization, in the event of the slightest change in the model parameters, the system results quickly show sensitivity and provide a different analysis and based on that, new solutions are presented. It should be noted that the details of the analysis and the solutions provided vary based on the amount of information given to the system. Thus, the more information provided, the more sensitive and profound the results