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

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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Bibliographic Details
Main Authors: S. Kavitha, K. Janani, J. Satheesh Kumar, Mahmoud M. Elkhouly, T. Amudha
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Aggregation operators
decision making
dual hesitant q-rung orthopair fuzzy sets
machine learning
multi label feature selection
Online Access:https://ieeexplore.ieee.org/document/9804723/

Internet

https://ieeexplore.ieee.org/document/9804723/

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