Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition
In the present paper an algorithm based on the k-nearest neighbors (KNN) rule modified for the case of intuitionistic fuzziness is proposed. The algorithm calculates the degrees of membership, non-membership and indeterminacy for each new element that needs to be classified. The choice of the KNN ru...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Academic Publishing House
2009-12-01
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| Серія: | Bioautomation |
| Предмети: | |
| Онлайн доступ: | http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_5.02.pdf |
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