A improved CF model base on normal distribution and Euclidean distance

Author

Zhan, Zhenpeng ; Shi, Liang ; Wang, Beizhan ; Lin, Lida

Author_Institution

Software Sch., Xiamen Univ., Xiamen, China

fYear

2009

fDate

25-28 July 2009

Firstpage

189

Lastpage

192

Abstract

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.

Keywords

expert systems; mathematical analysis; normal distribution; uncertainty handling; CF model; Euclidean distance; MYCIN representative system; certainty factor; normal distribution; Artificial intelligence; Computer science; Computer science education; Cybernetics; Electronic mail; Euclidean distance; Expert systems; Gaussian distribution; Medical services; Uncertainty; CF model; Euclidean Distance; normal Distribution; uncertainly reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education, 2009. ICCSE '09. 4th International Conference on

Conference_Location

Nanning

Print_ISBN

978-1-4244-3520-3

Electronic_ISBN

978-1-4244-3521-0

Type

conf

DOI

10.1109/ICCSE.2009.5228495

Filename

5228495