| 摘要: |
| 对诊断问题的分解进行研究,给出了候选诊断的分解与组合定理.在此基础上,提出了利用分步求解方法实现诊断分解的算法,并对算法的正确性、完备性和复杂性进行了证明.实验结果表明,分步求解方法明显提高了包含多个输出的系统的诊断效率.与利用变量假定例化值分解诊断问题的方法相比,该算法能提高了效率并且扩大了适用范围. |
| 关键词: 基于模型的诊断 诊断分解 分步推理 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60173039(国家自然科学基金) |
|
| A Gradual Approach for Model-Based Diagnosis |
|
ZHANG Xue-Nong,JIANG Yun-Fei,CHEN Ai-Xiang,ZHANG Li-Cheng
|
| Abstract: |
| This paper investigates the decomposition of diagnosis problem and gives a theorem for decomposition and combination of the diagnosis. On the basis of the above work, an algorithm using gradual approach to decomposing the diagnosis problem is proposed. Besides, the correctness, completeness and complexity of the algorithm are proved in this paper. The experimental results indicate that the algorithm can apparently improve the effectiveness of diagnosing multi-output system. Comparing with the method of decomposition by assuming instantiations of some variables, the algorithm is more efficient and applies to more general diagnosis problems. |
| Key words: model-based diagnosis diagnosis decomposition gradual reasoning |
