European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Enhanced Fuzzy-based Model for comparing knowledge and knower codes in Sociology

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.

Keywords: Sociology, fuzzy-based model, knower code

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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