Automatic Plagiarism Detection Using Fuzzy-Logic

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dc.contributor.authorJanet O. Jooda
dc.date.accessioned2025-05-27T11:06:34Z
dc.date.available2025-05-27T11:06:34Z
dc.date.issued2023
dc.description.abstractPlagiarism 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.
dc.identifier.citationAdedayo 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,
dc.identifier.issn2635-3490
dc.identifier.urihttps://repository.run.edu.ng/handle/123456789/4811
dc.language.isoen
dc.publisherDutse Journal of Pure and Applied Sciences (DUJOPAS),
dc.relation.ispartofseriesVol. 9 ; No. 3a
dc.titleAutomatic Plagiarism Detection Using Fuzzy-Logic
dc.typeArticle
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