Abstract
Along with the development of computer technology and Artificial Intelligence, it has been a highlight of Intelligent Diagnosis System how to solve diagnosis problem more accurately and smoothly by the help of AI system.In this paper, some novel concepts such as Key Factor, Associative Factor and Uncertainty Speculation are initiated. Furthermore, we pioneer a method so-called Uncertainty Inference based on Key-Associative Uncertainty Speculation, into which an innovative speculation mechanism is proposed and integrated. Study of cases and experiment statistics makes it clear that our scenario is practical, effective, and with a satisfying accurate rate of diagnosis.
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© 2011 Springer-Verlag Berlin Heidelberg
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Tan, W., Wang, X., Xu, X. (2011). An Intelligent System of Diagnosis Based on Associative Factor Uncertainty Speculation Inference. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_9
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DOI: https://doi.org/10.1007/978-3-642-23777-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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