Experts' Knowledge Fusion in Model-Based Diagnosis Based on Bayes Networks

In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that 'if component m 1 is faulty, then component m 2 may be faulty too'. How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.

项目挣值法在产品认证管理中的应用

产品认证管理中,进度和费用是最重要的两个评价指标。但目前,还没有一个很好的方法来全面反映产品认证过程中的进度和费用是否符合预定的计划目标。本文引用项目管理中的挣值法来判断和反映这两个指标参数,能很好的确定认证项目在进度和费用上是否符合预定计划。