The Research On Car Purchase Decision Support System Of RBR And Information Fusion Based On Multi-Constraint

Recently, with the development of the national economy, the growing increase of national disposable income and the sharp globalization trends, the Chinese consumers of often require make a choice in more and more consumable, especially to the car purchase decision-making. Large consumer decision-making behavior such as car buying decision usually need be done by consumers which collect many related Information. However, to make wise decisions about car purchase is very difficult because of strangeness to Specific In formations, performances and detailed parameters of cars, and the big amount of these parameters.Car Purchase Decision Support System can help consumers making more effective decision. Decision Support System has been the mature stage of theoretic development. and evolving to the practical application stage. The study of Intelligent Decision Support System gives Decision Support System a capacity to carry out both quantitative analysis and qualitative analysis, effectively saluting the problem of semi-structured, expanding the scope of the application of DSS, and improving the system's ability to solve problems. The research will be using Information Fusion and Rule-Based reasoning to jointly deal with the multinational decision-making problems under restrictive conditions such as the purchase of a car.The study and development of this system is based on above actual situation, combining the research of Rule-Based Reasoning and D-S Evidence Theory. The dissertation is divided into six chapters by the process of system design and development. It explore key technology of system development, at the same time describing the status of theoretical study on the topic and studying the concept, basic tenets and integration framework of Rule-Based Reasoning and D-S Evidence Theory. It proposes system requirements by premise of in-depth study of car buying decision-making, doing feasibility analysis for Car Purchase Decision Support System, Designing system logic function structure and data structure. According to description by model library and data base, it constructs a system development platform by using Visual basic programming language and SQL Server 2000 database and other software, and completes car purchase decision support system implementation. This paper solve data sharing problems by take full advantage of database technology, assuring system effectiveness by using model Library technology and providing decision support to car buying decision-making with Production System and D-S Evidence Theory, to achieve system function such as enquiry system, management, modeling and programmer management. After the Implementation of whole system, author does system performance testing with neutral users, preliminary verified Car Purchase Decision Support System of RBR and Information Fusion.The models about car purchase decision-making build by this paper comminuting the Production System and D-S evidence theory is used in the model base to solve the decision problem based on multi-constraint. The research and development of this paper make an effective exploration for the research on intelligent decision support system about Complex decision-making, for example car purchase. It also supplies a certain reference value for the enterprise decision support system development and application.