k-NN intuitionistic fuzzy classifier

The k-NN (k-Nearest Neighbor) classifier is one of the commonly used classifiers. We present a modification of this classifier based on Atanassov's intuitionistic fuzzy sets (IFSs, for short). We show, using benchmark data from UCI Machine Learning Repository, that the classifier we propose achieves very good results.

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Publication Details

Journal
Notes on Intuitionistic Fuzzy Sets
Published
2025-11-27
DOI
https://doi.org/10.7546/nifs.2025.31.4.496-510
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

k-NN intuitionistic fuzzy classifier

Janusz Kacprzyk, Eulalia Szmidt, Paweł Bujnowski
Notes on Intuitionistic Fuzzy Sets
Fuzzy Logic and Control Systems
article

k-NN intuitionistic fuzzy classifier

Janusz Kacprzyk, Eulalia Szmidt, Paweł Bujnowski
article en

Abstract

The k-NN (k-Nearest Neighbor) classifier is one of the commonly used classifiers. We present a modification of this classifier based on Atanassov's intuitionistic fuzzy sets (IFSs, for short). We show, using benchmark data from UCI Machine Learning Repository, that the classifier we propose achieves very good results.

Notes on Intuitionistic Fuzzy SetsVol. 31(4)
Openalex Percentile: Top 80%
Fuzzy Logic and Control Systems
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k-NN intuitionistic fuzzy classifier — Janusz Kacprzyk, Eulalia Szmidt, et al. · Notes on Intuitionistic Fuzzy Sets (2025) | TGRS Research Map | TGRS