Design of a Requirements Mining and Evaluation System Based on Fuzzy Algorithms

At present, the power grid mainly classifies customers based on customer value, demand characteristics, credit rating, satisfaction, and other aspects to improve the service quality of electricity customers. The core of researching and establishing a value evaluation segmentation and value-added service system for power customers is accurate and efficient clustering algorithms. However, the lack of exploration of potential customer needs and analysis of demand value makes it impossible to further enhance the promotion ability of value-added products and better provide differentiated services to customers. The research results indicate that this article establishes a demand mining and demand value evaluation system, which effectively manages and scientifically analyzes the demand data of electricity customers. It can provide a basis for user demand information analysis and comprehensive analysis management, customer demand mining and demand value analysis, and make customer demand worth evaluating correctly. It helps customer managers better provide professional and high-quality services for electricity customers.