| 한글제목(Korean Title) |
An Intuitionistic Fuzzy Approach to Classify the User Based on an Assessment of the Learner’s Knowledge Level in E-Learning Decision-Making |
| 영문제목(English Title) |
An Intuitionistic Fuzzy Approach to Classify the User Based on an Assessment of the Learner’s Knowledge Level in E-Learning Decision-Making |
| 저자(Author) |
Mukta Goyal
Divakar Yadav
Alka Tripathi
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| 원문수록처(Citation) |
VOL 13 NO. 01 PP. 0057 ~ 0067 (2017. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, Atanassov’s intuitionistic fuzzy set theory is used to handle the uncertainty of students’ knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov’s intuitionistic fuzzy user model is proposed to deal with vagueness in the user’s knowledge description in domain concepts. The user model uses Atanassov’s intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students’ knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.
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| 키워드(Keyword) |
Domain Model
E-Learning
E-Learning Environment
Fuzzy Rules
Intuitionistic Fuzzy Set
User Modeling
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| 파일첨부 |
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