Artificial Intelligent Diagnosing Method Based on the Certainty-Speculated Reason of Pivot Factor

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 56-60
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.56
• Online since: November 2013
• Authors: Wen Xue Tan, Hua Rui Wu*, Xi Ping Wang
• Keywords: Computer Diagnosing, Expert System, Intelligent System, Reason

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