Research on Optimum Model for the Best Link of Expert System

Chen Guo, Jiaman Ma, Yuefan Liu
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Abstract

According to the observation of known facts, researcher finds all performances which are conform to the observation of cognitive to associate with form knowledge base, and then build an initial network model. Based on this model, we complete the mutual uncertainty constraint by using the new achieve probability and effect probability between evidences and adjacent nodes. And on this basis, using the drive method which satisfied competition threshold, keeping reasoning to the high level, until find an object conclusion meets the expectation. The confirming result makes the best assuming evidence become the centre of focus from competition. It decides the orientation of evidence which is priority to be chosen, and give a high efficiency solution for choosing deterministic target by rapid positioning and accurate selection.
专家系统最佳环节的最优模型研究
根据对已知事实的观察,找出所有符合认知观察的表现与形成知识库相关联,然后建立初始网络模型。在此模型的基础上,利用证据与相邻节点之间新的实现概率和效果概率来完成相互不确定性约束。并在此基础上,采用满足竞争阈值的驱动方法,将推理保持在较高水平,直到找到一个符合预期的对象结论。结果的确认使得最佳假设证据从竞争中成为焦点。它确定了证据的优先选择方向,通过快速定位和准确选择,为确定性目标的选择提供了高效的解决方案。
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