A Improved CF Model Base on Normal Distribution and Euclidean Distance
Since the CF model has been proposed, it has been successfully applied in some areas and there is one of the representative systems MYCIN. However, the traditional CF model also has a few problems, for example, the inconsistencies of the degree of belief in a hypothesis and Conditional probability to some extent. Then this paper will proposed an improved method of the CF model which is the improved CF model base on normal distribution and Euclidean distance. It can resolve the serious inconsistencies of the degree of belief in a hypothesis and Conditional probability to some extent effectively.
CF model uncertainly reasoning normal Distribution Euclidean Distance
Zhenpeng Zhan Beizhan Wang Liang Shi Lida Lin
Software School of Xiamen University Xiamen, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
189-192
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）