Automatic Plagiarism Detection Using Fuzzy-Logic
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Date
2023
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Dutse Journal of Pure and Applied Sciences (DUJOPAS),
Abstract
Plagiarism occurs when a researcher copies fellow researcher’s work verbatim without acknowledging
the author. This work developed an automatic plagiarism detector using fuzzy logic. The system
developed was tested with 4 different text documents and evaluated using portability, efficiency,
functionality, ease of use and accuracy metrics. Results show that the developed plagiarism detector is
very easy to use with high functionality and accuracy as well as moderate efficiency and portability
based on user’s assessment. However, future work can increase the data size for model training and
consider machine learning techniques to improve accuracy.
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Citation
Adedayo Sobowale, Adebimpe Esan, Adebiyi Tomilayo, Bunmi Jooda and Adekemi Bolajoko (2023). Automatic Plagiarism Detection Using Fuzzy-Logic, Dutse Journal of Pure and Applied Sciences (DUJOPAS), Vol. 9 No. 3a, pp. 312 – 318,