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- W2058387682 abstract "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.;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." @default.
- W2058387682 created "2016-06-24" @default.
- W2058387682 creator A5078511750 @default.
- W2058387682 date "2008-07-09" @default.
- W2058387682 modified "2023-09-23" @default.
- W2058387682 title "A Gradual Approach for Model-Based Diagnosis" @default.
- W2058387682 doi "https://doi.org/10.3724/sp.j.1001.2008.00584" @default.
- W2058387682 hasPublicationYear "2008" @default.
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