Artificial Intelligent Diagnosing Method Based on the Certainty-Speculated Reason of Pivot Factor
文献类型： 外文期刊
作者： Tan Wen Xue 1 ; Wu Hua Rui 1 ; Wang Xi Ping 2 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Hunan Univ Arts & Sci, Sch Econ & Management, Changde 415000, Peoples R China
关键词： Reason;Computer Diagnosing;Intelligent System;Expert system
期刊名称：ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2
ISSN： 1022-6680
年卷期： 2014 年 846-847 卷
页码：
收录情况： SCI
摘要： How to solve disease-diagnosing problem effectively by the aid of Artificial Intelligence Computer has been being a mainstream of Intelligent System researching and development. Heretofore, performance of the well-known native Uncertainty Reason Resolution method still is unsatisfactory to professionals. This paper pioneers the concept of Associative-Pivot Factor and its Certainty Index Speculation algorithm, and on this base designs A novelty Machine Diagnosing Algorithm based on the Certainty Reason of Associative-Pivot Factor. Results and analysis demonstrate that the method exhibit a better efficiency than man-expert individual and the native CF Method. Generally speaking, it manifests an accurate rate of diagnosis over 82% and possesses the capacity to expand diagnosing capability of man-expert.
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