Research on Knowledge Base of Device Test Training System Based on Rough Set Data Mining

Qing Li; Wei Yang; Xiao Nan Ye; Xiao Xiao Ma

doi:10.4028/www.scientific.net/AMR.645.232

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Research on Knowledge Base of Device Test Training System Based on Rough Set Data Mining
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 645Research on Knowledge Base of Device Test Training...

Research on Knowledge Base of Device Test Training System Based on Rough Set Data Mining

Abstract:

The realization of a device test training system requires the use of a lot of domain knowledge, and building knowledge base will play an important role. In view of the uncertainty, inaccuracy and incompleteness of test data in the testing process, this paper makes the data mining algorithms based on rough set as knowledge acquisition algorithm, and proposes an improved algorithm for insufficient of approximate reduction of rough set knowledge based on the tolerance relation of incomplete information system. The paper studies the design and realization of knowledge base system in the developing of device simulation training system on this basis, and validates the method through a design example of knowledge base of a certain device simulation training system.

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Periodical:

Advanced Materials Research (Volume 645)

Pages:

232-238

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.645.232

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Online since:

January 2013

Authors:

Qing Li, Wei Yang, Xiao Nan Ye, Xiao Xiao Ma

Keywords:

Data Mining (DM), Knowledge Base, Rough Set (RS), Test Training

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References

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