A fuzzy system for evaluating students' learning achievement
- Authors
- Saleh, Ibrahim; Kim, Seong-In
- Issue Date
- Apr-2009
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Student evaluation; Fuzzy system; Fuzzy inference; Fuzzy rules; Fuzzification; Defuzzification
- Citation
- EXPERT SYSTEMS WITH APPLICATIONS, v.36, no.3, pp.6236 - 6243
- Indexed
- SCIE
SCOPUS
- Journal Title
- EXPERT SYSTEMS WITH APPLICATIONS
- Volume
- 36
- Number
- 3
- Start Page
- 6236
- End Page
- 6243
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/120350
- DOI
- 10.1016/j.eswa.2008.07.088
- ISSN
- 0957-4174
- Abstract
- The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of students' answerscripts using a fuzzy system. The proposed system applies fuzzification, fuzzy inference, and defuzzification in considering the difficulty, the importance and the complexity of questions. The transparency, objectivity, and easy implementation of the proposed fuzzy system provide a useful way to automatically evaluate students' achievement in a more reasonable and fairer manner. (C) 2008 Elsevier Ltd. All rights reserved.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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