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Development of a fuzzy-fule-base system with educational applications with case study

In criterion-referenced assessment method (CRA), total score for students’ work is gather by summing up the scores for each main criterion, where total score is overall mark awarded to student for their performed work e.g. assignment, test, project and etc. CRA is a linear assessment method wher...

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Main Author: Lee,, Kim Khoon.
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, UNIMAS 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/6509/1/DEVELOPMENT%20OF%20A%20FUZZY-RULE-BASE%20SYSTEM%20WITH%20EDUCATIONAL%20APPLICATIONS%20WITH%20CASE%20STUDY%2824%20pgs%29.pdf
http://ir.unimas.my/id/eprint/6509/8/LEE%20KIM%20KHOON.pdf
http://ir.unimas.my/id/eprint/6509/
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spelling my.unimas.ir.65092023-12-14T06:26:24Z http://ir.unimas.my/id/eprint/6509/ Development of a fuzzy-fule-base system with educational applications with case study Lee,, Kim Khoon. TK Electrical engineering. Electronics Nuclear engineering In criterion-referenced assessment method (CRA), total score for students’ work is gather by summing up the scores for each main criterion, where total score is overall mark awarded to student for their performed work e.g. assignment, test, project and etc. CRA is a linear assessment method where total score varies in direct proportion to the scores from each main criterion. A fuzzy inference system (FIS) based assessment model is proposed and developed to allow non-linear relationship between total score and score from each main criterion. FIS based assessment model is constructed with expert knowledge, rules collected from human expert are stored in fuzzy rule base for the use of inference. The number of rules increases exponentially as the number of main criteria increase. As a solution to this issue, a rule reduction system (RRS) is developed. The RRS can pin point a set of important rules, and it is suggested that only important rules is collected. A case study is conducted to evaluate the performance of the developed system. Empirical results show that the FIS based assessment model allow the non-linear relation among total score and the scores from each main criterion to be modeled. Besides, experiments show that the developed RRS can reduce the fuzzy rule significantly. Universiti Malaysia Sarawak, UNIMAS 2009 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/6509/1/DEVELOPMENT%20OF%20A%20FUZZY-RULE-BASE%20SYSTEM%20WITH%20EDUCATIONAL%20APPLICATIONS%20WITH%20CASE%20STUDY%2824%20pgs%29.pdf text en http://ir.unimas.my/id/eprint/6509/8/LEE%20KIM%20KHOON.pdf Lee,, Kim Khoon. (2009) Development of a fuzzy-fule-base system with educational applications with case study. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lee,, Kim Khoon.
Development of a fuzzy-fule-base system with educational applications with case study
description In criterion-referenced assessment method (CRA), total score for students’ work is gather by summing up the scores for each main criterion, where total score is overall mark awarded to student for their performed work e.g. assignment, test, project and etc. CRA is a linear assessment method where total score varies in direct proportion to the scores from each main criterion. A fuzzy inference system (FIS) based assessment model is proposed and developed to allow non-linear relationship between total score and score from each main criterion. FIS based assessment model is constructed with expert knowledge, rules collected from human expert are stored in fuzzy rule base for the use of inference. The number of rules increases exponentially as the number of main criteria increase. As a solution to this issue, a rule reduction system (RRS) is developed. The RRS can pin point a set of important rules, and it is suggested that only important rules is collected. A case study is conducted to evaluate the performance of the developed system. Empirical results show that the FIS based assessment model allow the non-linear relation among total score and the scores from each main criterion to be modeled. Besides, experiments show that the developed RRS can reduce the fuzzy rule significantly.
format Final Year Project Report
author Lee,, Kim Khoon.
author_facet Lee,, Kim Khoon.
author_sort Lee,, Kim Khoon.
title Development of a fuzzy-fule-base system with educational applications with case study
title_short Development of a fuzzy-fule-base system with educational applications with case study
title_full Development of a fuzzy-fule-base system with educational applications with case study
title_fullStr Development of a fuzzy-fule-base system with educational applications with case study
title_full_unstemmed Development of a fuzzy-fule-base system with educational applications with case study
title_sort development of a fuzzy-fule-base system with educational applications with case study
publisher Universiti Malaysia Sarawak, UNIMAS
publishDate 2009
url http://ir.unimas.my/id/eprint/6509/1/DEVELOPMENT%20OF%20A%20FUZZY-RULE-BASE%20SYSTEM%20WITH%20EDUCATIONAL%20APPLICATIONS%20WITH%20CASE%20STUDY%2824%20pgs%29.pdf
http://ir.unimas.my/id/eprint/6509/8/LEE%20KIM%20KHOON.pdf
http://ir.unimas.my/id/eprint/6509/
_version_ 1787140464532520960
score 13.211869

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