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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Duoqian Miao Nan Zhang Xiaodong Yue |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Technology, Tongji University, Shanghai, China 201804 (Duoqian Miao; Nan Zhang; Xiaodong Yue) |
| Abstract | In this paper, the concept of α -maximal consistent blocks is proposed to formulate the new rough approximations to an arbitrary object set in interval-valued information systems. The a -maximal consistent blocks can provide the simpler discernibility matrices and discernibility functions in reduction of interval-valued information systems. This means that they can provide a more efficient computation for knowledge acquisitions. Numerical examples are employed to substantiate the conceptual arguments. |
| Starting Page | 320 |
| Ending Page | 327 |
| File Size | 1234907 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424446421 |
| DOI | 10.1109/COGINF.2009.5250721 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-15 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information systems Set theory Rough sets Lattices Image analysis Information analysis Pattern analysis Logic Fuzzy sets Knowledge acquisition |
| Content Type | Text |
| Resource Type | Article |
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