| Title of paper:
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A F-operator intuitionistic fuzzy version of the nearest neighbor classifier
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| Author(s):
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| Stefan Hadjitodorov
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| Centre for Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
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| sthadj@argo.bas.bg
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| Published in:
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"Notes on IFS", Volume 6 (2000) Number 1, pages 1—6
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| Download:
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 PDF (288 Kb, Info)
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| Abstract:
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A F-operator intuitionistic fuzzy version of one of the basic statistical nonparametrical methods, the nearest prototype (respectively nearest neighbor - NN) classification method, is proposed. It is based on a procedure of adjusting the degrees of membership, nonmembership and indeterminacy to the nearest class by means of the F-operator. The parameter values of that operator iteratively take into account the distances to the prototype (mean) vector of the class, to the 1- NN which belongs to that nearest class, to the 3- NN, to the 5- NN, etc. The procedure stops when the degree of indeterminacy is considerably diminished and the degree of membership reaches a sufficiently high value and in this way increases the confidence in the classification decision.
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| Keywords:
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Pattern recognition, Fuzzy classification, Intuitionistic fuzzy sets, Fuzzy NN classifier
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| References:
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