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...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Academic Publishing House
2009-12-01
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| Saila: | Bioautomation |
| Gaiak: | |
| Sarrera elektronikoa: | http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_5.02.pdf |
| Etiketak: |
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