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Title |
Finding More Accurate Decision Models Based on Rough Set Theory |
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Author |
Hyontai Sug |
| Citation |
Vol. 6 No. 1 pp. 87~90 |
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Abstract |
For the time when we deal with the difficulty of determining a decision attribute among several candidates to find more accurate decision models, we propose a new method to help users find a good decision attribute based on the overall correctness of the target database. The overall correctness is measured by the degree of non-conflicting decisions based on rough set theory. By assessing the measure among possible candidates, we can have more accurate decision models for the target databases. |
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Keywords |
Decision trees, Rough set theory, clustering |
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