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oaioai:zenodo.org:1268725

Fuzzy rough positive region based nearest neighbour classification

Authors
Publication date
1 January 2012
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi

    Abstract

    This paper proposes a classifier that uses fuzzy rough set theory to improve the Fuzzy Nearest Neighbour (FNN) classifier. We show that previous attempts to use fuzzy rough set theory to improve the FNN algorithm have some shortcomings and we overcome them by using the fuzzy positive region to measure the quality of the nearest neighbours in the FNN classifier. A preliminary experimental evaluation shows that the new approach generally improves upon existing methods

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    NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

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    oaioai:zenodo.org:1268725
    Last time updated on 03/12/2022

    This paper was published in NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY.

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