Fuzzy Logic and Fuzzy Topology for Uncertainty Management in Machine Learning

GAFURSO MAKANDAR

Fuzzy Logic and Fuzzy Topology for Uncertainty Management in Machine Learning

Authors: GAFURSO MAKANDAR

Unique Paper ID: 168214
Volume: 11
Issue: 5
PageNo: 2122-2125

Keywords: No Keywords Found

Abstract:
Uncertainty in machine learning refers to the inherent unpredictability in model predictions due to factors like data variability and model limitations. Fuzzy logic is a mathematical framework used to handle imprecise and uncertain information by allowing partial truth values between completely true and completely false. Managing uncertainty in machine learning models is crucial for improving their robustness, reliability, and interpretability.

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ISSN: 2349-6002
Volume: 11
Issue: 5
PageNo: 2122-2125

Fuzzy Logic and Fuzzy Topology for Uncertainty Management in Machine Learning

Available:https://ijirt.org/Article?manuscript=168214

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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