Rough Set Theory and its Application to Automobile Breakdown Diagnosis

Wang Junhai; Yin Xuri

doi:10.3963/j.issn.1674-4861.2000.03.004

Issue 3

Jun. 2000

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Article Navigation > Journal of Transport Information and Safety > 2000 > 18(3): 14-16

Wang Junhai, Yin Xuri. Rough Set Theory and its Application to Automobile Breakdown Diagnosis[J]. Journal of Transport Information and Safety, 2000, 18(3): 14-16. doi: 10.3963/j.issn.1674-4861.2000.03.004

Citation:

Wang Junhai, Yin Xuri. Rough Set Theory and its Application to Automobile Breakdown Diagnosis[J]. Journal of Transport Information and Safety, 2000, 18(3): 14-16. doi: 10.3963/j.issn.1674-4861.2000.03.004

Citation:

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Rough Set Theory and its Application to Automobile Breakdown Diagnosis

doi: 10.3963/j.issn.1674-4861.2000.03.004

Publish Date: 2000-06-28

Abstract

Abstract

The Rough set approach is an important tool to deal with uncertain or vague knowledge in AI applications. In this paper, the Rough set theory isfurther researched, and the methods of Rough set theory that are suitable for theproblems of attribute analysis and knowledge discovery in automobile breakdowndiagnosis are summarized and proposed.
- decision rules,
- breakdown diagnosis,
- knowledge discovery,
- Rough set