Some Granular Computing Based Machine Learning Algorithms

Granular computing has emerged as a new computational method that is beneficial when dealing with large amounts of data. In recent years, several machine learning models based on the granular framework have been developed, outperforming traditional machine learning models. This article reviews some newly developed techniques in terms of granular framework settings.

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Publication Details

Journal
Fuzzy Sets and Systems
Published
2024-09-04
DOI
https://doi.org/10.71602/tfss.2025.1183012
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
Field-Weighted Citation Impact
0.00
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article

Some Granular Computing Based Machine Learning Algorithms

Fuzzy Sets and Systems
Rough Sets and Fuzzy Logic
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Some Granular Computing Based Machine Learning Algorithms

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Abstract

Granular computing has emerged as a new computational method that is beneficial when dealing with large amounts of data. In recent years, several machine learning models based on the granular framework have been developed, outperforming traditional machine learning models. This article reviews some newly developed techniques in terms of granular framework settings.

Fuzzy Sets and Systems
Hindu College of Pharmacy (IN)
Openalex Percentile: Top 50%
Rough Sets and Fuzzy Logic
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Some Granular Computing Based Machine Learning Algorithms · Fuzzy Sets and Systems (2024) | TGRS Research Map | TGRS