The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier
Granulation extracts a bundle of similar patterns by decomposing universe. Hyperboxes are granular classifiers to confront the uncertainties in granular computing. This paper proposes a granular classifier to discover hyperboxes in three phases. The first phase of the proposed model uses the set cal...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58999/ http://dx.doi.org/10.1016/j.knosys.2014.12.017 |
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