Okolai, Biriyai Diripigi and Onuodu,, Friday E and Murphy, Barituka B (2021) ENHANCED FUZZY-BASED MODEL FOR COMPARING KNOWLEDGE AND KNOWER CODES IN SOCIOLOGY. European Journal of Computer Science and Information Technology, 9 (4). pp. 73-90. ISSN 2054-0957 (Print), 2054-0965 (Online)
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Abstract
The study presented an optimized approach to evaluating knowledge and knower performance in Sociology via a Fuzzy-based Model. One of the concerns raised by students in the field of sociology is the overall lack of coherence among undergraduates in sociology, despite the many individual courses on offer. The study adopted Object-Oriented System Development Methodology (OOSDM) and implementation was carried out with Hypertext Preprocessor (PHP) and MySQL as backend. The results obtained showed an automated routing metrics for performance evaluation of knowledge and knower codes in sociology, which could be beneficial to knowers and other researchers in the field of study.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | fuzzy-based model, knower code, sociology |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 31 Mar 2022 10:59 |
| Last Modified: | 31 Mar 2022 10:59 |
| URI: | https://tudr.org/id/eprint/174 |
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