Multi Label Feature Selection Through Dual Hesitant q-Rung Orthopair Fuzzy Dombi Aggregation Operators

In this article, the feature selection (FS) process is taken as a multi criteria decision making (MCDM) problem. Also, to consider the impreciseness arising in the real time data, the values of the decision matrix procured after the ridge regression is fuzzified into dual hesitant q-rung orthopair f...

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Главные авторы:	S. Kavitha, K. Janani, J. Satheesh Kumar, Mahmoud M. Elkhouly, T. Amudha
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2022-01-01
Серии:	IEEE Access
Предметы:	Aggregation operators decision making dual hesitant q-rung orthopair fuzzy sets machine learning multi label feature selection
Online-ссылка:	https://ieeexplore.ieee.org/document/9804723/
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