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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Publishing House
2009-12-01
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| Series: | Bioautomation |
| Subjects: | |
| Online Access: | http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_5.02.pdf |
| _version_ | 1811265011860897792 |
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| author | Todorova L. Vassilev P. |
| author_facet | Todorova L. Vassilev P. |
| author_sort | Todorova L. |
| collection | DOAJ |
| description | 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 rule is due to the high precision of the method in decision making for pattern recognition problems, while the apparatus of the intuitionistic fuzzy sets is used to describe more adequately the considered objects and allows for pattern recognition with non-strict membership of the patterns. |
| first_indexed | 2024-04-12T20:15:58Z |
| format | Article |
| id | doaj.art-5d0c128b44e04038afae577aa1338be3 |
| institution | Directory Open Access Journal |
| issn | 1313-261X 1312-451X |
| language | English |
| last_indexed | 2024-04-12T20:15:58Z |
| publishDate | 2009-12-01 |
| publisher | Academic Publishing House |
| record_format | Article |
| series | Bioautomation |
| spelling | doaj.art-5d0c128b44e04038afae577aa1338be32022-12-22T03:18:08ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2009-12-01134265270Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern RecognitionTodorova L.Vassilev P.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 rule is due to the high precision of the method in decision making for pattern recognition problems, while the apparatus of the intuitionistic fuzzy sets is used to describe more adequately the considered objects and allows for pattern recognition with non-strict membership of the patterns.http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_5.02.pdfIntuitionistic fuzzy setsk-nearest neighbors rulePattern recognition |
| spellingShingle | Todorova L. Vassilev P. Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition Bioautomation Intuitionistic fuzzy sets k-nearest neighbors rule Pattern recognition |
| title | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition |
| title_full | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition |
| title_fullStr | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition |
| title_full_unstemmed | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition |
| title_short | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition |
| title_sort | application of k nearest neighbor rule in the case of intuitionistic fuzzy sets for pattern recognition |
| topic | Intuitionistic fuzzy sets k-nearest neighbors rule Pattern recognition |
| url | http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_5.02.pdf |
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