Articles with "reduce effect" as a keyword



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Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3165879

Abstract: Fuzzy membership is an effective approach used in twin support vector machines (SVMs) to reduce the effect of noise and outliers in classification problems. Fuzzy twin SVMs (TWSVMs) assign membership weights to reduce the effect… read more here.

Keywords: intuitionistic fuzzy; fuzzy weighted; weighted least; fuzzy ... See more keywords