Crynodeb
This paper proposes a classifier that uses fuzzy rough set theory to improve the Fuzzy Nearest Neighbour (FNN) classifier. We show that previous attempts to use fuzzy rough set theory to improve the FNN algorithm have some shortcomings and we overcome them by using the fuzzy positive region to measure the quality of the nearest neighbours in the FNN classifier. A preliminary experimental evaluation shows that the new approach generally improves upon existing methods.
Iaith wreiddiol | Saesneg |
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Teitl | 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Man cyhoeddi | NEW YORK |
Cyhoeddwr | IEEE Press |
Tudalennau | 1961-1967 |
Nifer y tudalennau | 7 |
ISBN (Argraffiad) | 978-1-4673-1506-7 |
Statws | Cyhoeddwyd - 2012 |
Digwyddiad | IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/International Joint Conference on Neural Networks (IJCNN)/IEEE Congress on Evolutionary Computation (IEEE-CEC)/IEEE World Congress on Computational Intelligence (IEEE-WCCI) - Brisbane Hyd: 10 Meh 2012 → 15 Meh 2012 |
Cynhadledd
Cynhadledd | IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/International Joint Conference on Neural Networks (IJCNN)/IEEE Congress on Evolutionary Computation (IEEE-CEC)/IEEE World Congress on Computational Intelligence (IEEE-WCCI) |
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Dinas | Brisbane |
Cyfnod | 10 Meh 2012 → 15 Meh 2012 |