Research Article
Kernel Neighborhood Rough Sets Model and Its Application
Algorithm 1
Feature selection based on a kernel neighborhood rough set (FSKNRS).
| Input: decision system and stopping threshold | | Output: selected features | | 1. | | 2. while | | 3. for each | | 4. compute | | 5. compute | | 6. end for | | 7. find the maximal significance and the corresponding attribute | | 8. if | | 9. | | 10. else | | 11. exit while | | 12. end if | | 13. end while | | 14. return |
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