The use of fuzzy measures in estimating the interdependences between academic subjects
Computing the overall student‘s academic achievements is often done by adding all the scores of the student and dividing the value by the number of subjects.This action means that all subjects are seen as having the same weights or same relative importance.Besides that, the subjects are assumed to b...
| Main Authors: | , |
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| 格式: | Conference or Workshop Item |
| 语言: | English |
| 出版: |
2013
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| 主题: | |
| 在线阅读: | https://repo.uum.edu.my/id/eprint/12054/1/PID90.pdf |
| _version_ | 1825802939902459904 |
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| author | Mat Kasim, Maznah Abdullah, Siti Rohana Goh |
| author_facet | Mat Kasim, Maznah Abdullah, Siti Rohana Goh |
| author_sort | Mat Kasim, Maznah |
| collection | UUM |
| description | Computing the overall student‘s academic achievements is often done by adding all the scores of the student and dividing the value by the number of subjects.This action means that all subjects are seen as having the same weights or same relative importance.Besides that, the subjects are assumed to be independent with each other which is not true in the real context.This paper focuses on estimating the interactions or interdependencies measures among five main subjects taught in Malaysian primary school
s where a result from one case study was used as a basis of the discussion.Five experienced teachers were asked to weigh the importance of the subjects by direct rating method.The results showed that the teachers gave same weight to two subjects, whereas the other three subjects have different weights. Furthermore, one mathematical technique known as lamda (λ)–fuzzy measure was used to compute the interdependencies between the selected subjects.The highest interdependency occurred in pair of mathematics and science subjects and the lowest interaction or interdependency was between Malay Language
subjects and English. Even though this result cannot be generalized and is not strange to researchers in the field but this study has succeeded in quantifying the interdependencies among the selected subjects.In future research, the relative weights as well as the interdependencies values are suggested to be considered in computing the overall scores of students‘
academic achievements.By doing so, the overall
results would explain the real performance of the students. |
| first_indexed | 2024-07-04T05:48:49Z |
| format | Conference or Workshop Item |
| id | uum-12054 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:48:49Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-120542014-08-26T02:14:19Z https://repo.uum.edu.my/id/eprint/12054/ The use of fuzzy measures in estimating the interdependences between academic subjects Mat Kasim, Maznah Abdullah, Siti Rohana Goh QA76 Computer software Computing the overall student‘s academic achievements is often done by adding all the scores of the student and dividing the value by the number of subjects.This action means that all subjects are seen as having the same weights or same relative importance.Besides that, the subjects are assumed to be independent with each other which is not true in the real context.This paper focuses on estimating the interactions or interdependencies measures among five main subjects taught in Malaysian primary school s where a result from one case study was used as a basis of the discussion.Five experienced teachers were asked to weigh the importance of the subjects by direct rating method.The results showed that the teachers gave same weight to two subjects, whereas the other three subjects have different weights. Furthermore, one mathematical technique known as lamda (λ)–fuzzy measure was used to compute the interdependencies between the selected subjects.The highest interdependency occurred in pair of mathematics and science subjects and the lowest interaction or interdependency was between Malay Language subjects and English. Even though this result cannot be generalized and is not strange to researchers in the field but this study has succeeded in quantifying the interdependencies among the selected subjects.In future research, the relative weights as well as the interdependencies values are suggested to be considered in computing the overall scores of students‘ academic achievements.By doing so, the overall results would explain the real performance of the students. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12054/1/PID90.pdf Mat Kasim, Maznah and Abdullah, Siti Rohana Goh (2013) The use of fuzzy measures in estimating the interdependences between academic subjects. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
| spellingShingle | QA76 Computer software Mat Kasim, Maznah Abdullah, Siti Rohana Goh The use of fuzzy measures in estimating the interdependences between academic subjects |
| title | The use of fuzzy measures in estimating the interdependences between academic subjects |
| title_full | The use of fuzzy measures in estimating the interdependences between academic subjects |
| title_fullStr | The use of fuzzy measures in estimating the interdependences between academic subjects |
| title_full_unstemmed | The use of fuzzy measures in estimating the interdependences between academic subjects |
| title_short | The use of fuzzy measures in estimating the interdependences between academic subjects |
| title_sort | use of fuzzy measures in estimating the interdependences between academic subjects |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/12054/1/PID90.pdf |
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