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, Its 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.
CF model uncertainly reasoning massive data processing weight matrix algorisim
Beizhan Wang Zhenpeng Zhan Huiqun Chen
Software School of Xiamen University, Xiamen, China
国际会议
厦门
英文
880-884
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）