文章基本信息

标题：The Analysis of Comparison of Expert System of Diagnosing Dog Disease by Certainty Factor Method and Dempster-Shafer Method
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作者：Ni Putu Eka Setyarini ; Dr. I Ketut Gede Darma Putra ; S.Kom. Mt 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：1
出版社：IJCSI Press
摘要：Expert system is one of branches of artificial intelligence that studies how to \adopt\ an expert way of, inferring from a number of facts, and making decision. This paper presents a comparison between two methodologies, Certainty Factor Method and Dempster-Shafer Method to identify diseases of the dog. Providing proper health care can be done by knowing common dog diseases and being aware of appropriate prevention and treatment. In this paper used 74 physical symptoms of illness to find 17 types of common diseases of dogs. Five options are given to answer questions of calculations using each method: no, quite sure, pretty sure, sure, and definitely sure. The accuracy of the analysis of each method was tested by assessing the results of each analysis method based on the given user enter. The results of the analysis are correct when judged from the point of view of experts.
关键词：Diseases of Dog; Certainty Factor Method; Dempster;Shafer Method.