A fuzzy inference system-based criterion-referenced assessment model
The main aim of criterion-referenced assessment (CRA) is to report students’ achievements in accordance with a set of references. In practice, a score is given to each test item (or task). The scores from different test items are added together and then projected or aggregated, usually linearly, to...
| Main Authors: | , |
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| Format: | Article |
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Elsevier Ltd
2011
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| Online Access: | http://ir.unimas.my/id/eprint/2961/ |
| _version_ | 1848835112739799040 |
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| author | Kai, Meng Tay Chee, Peng Lim |
| author_facet | Kai, Meng Tay Chee, Peng Lim |
| author_sort | Kai, Meng Tay |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | The main aim of criterion-referenced assessment (CRA) is to report students’ achievements in accordance with a set of references. In practice, a score is given to each test item (or task). The scores from different test items are added together and then projected or aggregated, usually linearly, to produce a total score. Each component score can be weighted before being added together in order to reflect the relative importance of each test item. In this paper, the use of a fuzzy inference system (FIS) as an alternative to the conventional addition or weighted addition in CRA is investigated. A novel FIS-based CRA model is presented, and two important properties, i.e., the monotonicity and sub-additivity properties, of the FIS-based CRA model are investigated. A case study relating to assessment of laboratory projects in a university is conducted. The results indicate the usefulness of the FIS-based CRA model in comparing and assessing students’ performances with human linguistic terms. Implications of the importance of the monotonicity and sub-additivity properties of the FIS-based CRA model in undertaking general assessment problems are discussed. |
| first_indexed | 2025-11-15T06:02:42Z |
| format | Article |
| id | unimas-2961 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| last_indexed | 2025-11-15T06:02:42Z |
| publishDate | 2011 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-29612015-03-23T08:10:35Z http://ir.unimas.my/id/eprint/2961/ A fuzzy inference system-based criterion-referenced assessment model Kai, Meng Tay Chee, Peng Lim TK Electrical engineering. Electronics Nuclear engineering The main aim of criterion-referenced assessment (CRA) is to report students’ achievements in accordance with a set of references. In practice, a score is given to each test item (or task). The scores from different test items are added together and then projected or aggregated, usually linearly, to produce a total score. Each component score can be weighted before being added together in order to reflect the relative importance of each test item. In this paper, the use of a fuzzy inference system (FIS) as an alternative to the conventional addition or weighted addition in CRA is investigated. A novel FIS-based CRA model is presented, and two important properties, i.e., the monotonicity and sub-additivity properties, of the FIS-based CRA model are investigated. A case study relating to assessment of laboratory projects in a university is conducted. The results indicate the usefulness of the FIS-based CRA model in comparing and assessing students’ performances with human linguistic terms. Implications of the importance of the monotonicity and sub-additivity properties of the FIS-based CRA model in undertaking general assessment problems are discussed. Elsevier Ltd 2011 Article NonPeerReviewed Kai, Meng Tay and Chee, Peng Lim (2011) A fuzzy inference system-based criterion-referenced assessment model. Expert Systems with Applications, 38 (9). 11129-11136.. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kai, Meng Tay Chee, Peng Lim A fuzzy inference system-based criterion-referenced assessment model |
| title | A fuzzy inference system-based criterion-referenced assessment model |
| title_full | A fuzzy inference system-based criterion-referenced assessment model |
| title_fullStr | A fuzzy inference system-based criterion-referenced assessment model |
| title_full_unstemmed | A fuzzy inference system-based criterion-referenced assessment model |
| title_short | A fuzzy inference system-based criterion-referenced assessment model |
| title_sort | fuzzy inference system-based criterion-referenced assessment model |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/2961/ |