文献类型： 外文期刊

第一作者： Tan Wen Xue

作者： Tan Wen Xue;Wu Hua Rui;Tan Wen Xue;Wang Xi Ping

作者机构：

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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