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http://ifigenia.org/wiki/issue:nifs/1/1/66-69
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| Title of paper:
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An intuitionistic fuzzy sets application to the K-NN method
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| Author(s):
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| Stefan Hadjitodorov
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| Department of Biomedical Informatics, Central Laboratory of Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Street, bl. 105, 1113 Sofia, Bulgaria
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| sthadj@bgcict.bitnet (current: sthadj@argo.bas.bg)
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 1 (1995) Number 1, pages 66—69
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| Download:
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 PDF (214 Kb, File info)
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| Abstract:
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A version for increasing of the classification accuracy of one of the basic statistical nonparametrical methods, the K-NN method, is proposed. Here the idea of including fuzzy information in K-NN method is applied in a new way. The distances are modified by means of the pattern degrees of membership and nonmembership to the classes to which the pattern belongs. Thus for each of the labeled samples its typicalness is taken into consideration.
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| Keywords:
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Pattern recognition, Fuzzy classification, Intuitionistic fuzzy sets, Fuzzy K-NN
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| References:
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