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@article{168214,
        author = {GAFURSO MAKANDAR},
        title = {Fuzzy Logic and Fuzzy Topology for Uncertainty Management in Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2122-2125},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168214},
        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.},
        keywords = {},
        month = {October},
        }