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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peng Lu Xihuai Wang Jianmei Xiao |
| Copyright Year | 2009 |
| Abstract | There are many uncertainties and knowledge redundancy in Fault Diagnosis. while the rough set theory is a new the mathematical tools to deal with the uncertainty of information. The rough set theory provides a a new effective way of dealing with the mechanical fault diagnosis . This paper presents a method of Discretization which can be used in incomplete continuous information processing, and uses the weighted clustering method to determine breakpoints, and chooses breakpoints using the decision-making table 's compatibility as standards. Experiments show that it is a satisfactory alternative method. |
| Starting Page | 162 |
| Ending Page | 164 |
| File Size | 229151 |
| Page Count | 3 |
| File Format | |
| ISBN | 9780769539072 |
| DOI | 10.1109/EEEE.2009.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Automation Weighted clustering Decision making Redundancy Frequency conversion Incomplete Information Continuous attributes Information systems Fault diagnosis Electronic learning Set theory Electronic government |
| Content Type | Text |
| Resource Type | Article |
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