Business component design is one of the hottest research issues in the development of enterprise information system. A business model description method is given, which uses business function view, business entity view, business organization view, business control view. Based on the semantic analysis of business model, relationship formulas between sampling points and relationship formulas between clusters are given. And the cluster algorithm is introduced to make the business component partitioning process more effectively. Cluster process diagram is brought out to identify the best component design result. The key steps of business component interface design are given as well. All of these provide feasible reference standards for component partitioning and interface design, and greatly enhance the quality of component design.
By analyzing the basic principles of artificial immune network, accuracy and high performance of fuzzy computation for information intelligent processing, an intelligent algorithm of fuzzy dynamic clustering based on immune network is proposed. By importing the principles of auto-justifying threshold and auto-evolution, the effect of man-made outer parameters is avoided, and while the results are automatically asserted on charge of the required clustering number, the reasons are recorded, by which the practicability and replant ion of the algorithm are both enhanced. Application results of cooperation credit rating show the searching of clustering is rational and feasible, while the developing trend and the reference of decision-making are also intelligently provided through the procedures of evolution.
To solve problems of “offline-work” and “dispersed-deploy” in the self-help service system, the structure and strategies of smart client are investigated, and two universal application models of “occasional connect” and “intelligent update” are proposed for secondary development. The complete process of self-help service system is illustrated, including requirement analysis, project design and technical realization. Through the actual results of operations, smart client is manifested with outstanding advantage and favorable feasibility in improving work quality, integrating Web Services and reducing maintenance cost.