The improved CF model analysis with massive data processing

In the uncertain reasoning domain, there are many methods to process uncertain reasoning. One of them is CF model analysis; it has achieved a good applying from the MYCIN system. But there are also some problems in the using of this theory, for example, It´s susceptible to negative evidence and even it may fully negate the effect taken by core evidence due to unimportant negative evidence. So in this paper, we put forward the improved CF model to fix some problem. In the other way, we take with massive data processing for improving the accuracy rate. The decision analysis list is reasoned by both the improved CF model and massive data processing. And this model has been applied by a business system.