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@article{169370,
        author = {Dr. Suchita Bhovar},
        title = {A Study of Fuzzy Logic in the Education System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1689-1692},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169370},
        abstract = {This paper provides an abstract of fuzzy logic and its application in education. Fuzzy logic is a developing field with practical applications in control systems, expert systems, and databases. It differs from traditional binary logic by making decisions based on varying degrees of ambiguity. Fuzzy systems are increasingly used in fields like behavioral science to accommodate uncertainty in decisions based on human judgment. The growing wealth of information in educational systems has led to the use of soft computing techniques to enhance prediction and decision-making processes, ultimately improving institutional performance. The paper offers a brief overview of fuzzy logic's background and explains its functional perspective, including the roles of fuzzy sets, membership functions, rules, and fuzzy inference systems.},
        keywords = {},
        month = {November},
        }