摘要
在质量计划理论方法研究的基础上 ,提出了支持质量计划过程的基于案例的推理方法 ,研究了质量计划案例的知识表示方法和案例库的组织结构 ,并重点讨论了案例的检索方法和NN匹配算法。通过对质量计划过程的分析 ,构建了支持质量计划过程的基于案例的推理结构框架和过程框架。最后 ,通过应用实例说明了基于案例的推理应用于质量计划过程的具体方法和取得的效果。
According to the characteristics of quality planning, Case-Based Reasoning (CBR) methodology is introduced to deal with the knowledge representation and intelligent reasoning in quality planning. The method of case retrieval and NN matching algorithm are emphasized. CBR supporting functions in Quality Planning software are studied and implemented. The consistency and feasibility of quality plans generated by the CBR quality planning system are evaluated. Finally, a sample is provided for explaining the running method and gained effect of case-based reasoning in the process of quality planning.
基金
国家863/CIMS主题资助项目 ( 863-5 11-944 -0 0 5 )
关键词
质量计划
案例
推理
知识表达
CIMS
quality planning
case
case-based reasoning
case representation
