Design and Development of Corporate Financial Risk Control System Based on Big Data

This method has three important characteristics: (1) using large-scale and complex phenomena to obtain the main objective function; (2) Its design is based on the combination of fuzzy reasoning and evolutionary algorithm to optimize the value of the interdependent objective function; (3) The optimization mechanism focuses on “fuzzy trust” rather than simple “trust”. In addition, a more detailed study was carried out by comparing with other results in related fields. Financial risk control is one of the most important problems that modern organizations must solve. Therefore, it is necessary to find effective risk control approaches and tools. Data can play an important role in this process because they are many different sources of information about business activities, and they can also help us make informed decisions when we use the appropriate methods.