Construction of Enterprise Economic Benefit Evaluation System Based on Fuzzy Clustering Algorithm

The formation of EEBE (Enterprise Economic Benefit Evaluation) index is an objective reflection of enterprise management practice. Therefore, the construction of evaluation index must follow strict procedures and methods, and can't be arbitrarily determined by subjective will and personal experience. This topic carries out the construction of EEBE system based on fuzzy clustering algorithm. The EEBE system design method based on FCM (Fuzzy C-means) establishes the corresponding evaluation factor set according to the characteristics of the evaluation object and the evaluation criteria learned from the demand analysis. Finally, the physical architecture of EEBE system is realized. According to the physical structure and actual situation of the system, it is planned to set up four database servers, and adopt dual-computer hot standby to ensure the stability and security of the system. Simulation results show that the accuracy of this algorithm is 15.308% higher than that of the traditional fuzzy comprehensive evaluation method. This method is more suitable for fast clustering, and the accuracy of clustering is largely determined by the first stage, and the second stage is to further optimize the clustering center.