Fuzzy Clustering Evaluation Algorithm Based On Decision Tree And Application In Securities Business

With the increasing specification of security market, unstable system of commission make the competition of brokerage more fierce, it is more important to improve customer service. With the coming of information age, the enterprises transfer from product-centered to customer-centered, they come to know that good customer relationship is the key to win. To carry out effective competition, the enterprises should make customer segmentation, select the most favorable target customer groups, centralize resources, make effective competitive strategy to increase advantages, at the same time they should emphasize the management of customer loyalty, provide relevant management to different customer, transfer from passive marketing model to initiative marketing model ,make personalized securities marketing more directional.The paper is based on customer loyalty theory and data mining technology, combine features of Chinese security industry to do intensive research. The content include establishment of fuzzy clustering evaluation algorithm based on decision tree, the application of algorithm on customer segmentation, customer classification prediction ,customer loyalty segmentation, customer loyalty classification prediction, the main method and operating process of data mining. The research focus on analyze natural quality and transaction behavioral characteristic of domestic customer, investigate classification model and loyalty evaluating indicator system, propose data mining method and process of classification and loyalty evaluation suitable for domestic security industry.On the basis of theory research ,the paper combine the case of customer loyalty recognition in a security company, analyze data mining process of customer classification and loyalty recognition, propose personalized marketing advice to different customer according to data mining result, and provide marketing strategy to optimize stockjobber.The paper finally summarize the research, propose outlook of domestic security customer classification and loyalty research based on data mining technology.