Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique
A search in the literature reveals that the use of fuzzy inference system (FIS) in criterion-referenced assessment (CRA) is not new. However, literature describing how an FIS-based CRA can be implemented in practice is scarce. Besides, for an FIS-based CRA, a large set of fuzzy rules is required and...
| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IGI-Global
2012
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/2720/ http://ir.unimas.my/id/eprint/2720/1/Enhancing%20fuzzy%20inference%20system-based%20criterion-referenced%20assessment%20with%20a%20similarity%20reasoning%20technique.pdf |
| _version_ | 1848835052627034112 |
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| author | Tze, L.J Kai, M.T Chee, K.N |
| author_facet | Tze, L.J Kai, M.T Chee, K.N |
| author_sort | Tze, L.J |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | A search in the literature reveals that the use of fuzzy inference system (FIS) in criterion-referenced assessment (CRA) is not new. However, literature describing how an FIS-based CRA can be implemented in practice is scarce. Besides, for an FIS-based CRA, a large set of fuzzy rules is required and it is a rigorous work in obtaining a full set of rules. The aim of this chapter is to propose an FIS-based CRA procedure that incorporated with a rule selection and a similarity reasoning technique, i.e., analogical reasoning (AR) technique, as a solution for this problem. AR considers an antecedent with an unknown consequent as an observation, and it deduces a conclusion (as a prediction of the consequent) for the observation based on the incomplete fuzzy rule base. A case study conducted in Universiti Malaysia Sarawak is further reported. |
| first_indexed | 2025-11-15T06:01:44Z |
| format | Book Chapter |
| id | unimas-2720 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:01:44Z |
| publishDate | 2012 |
| publisher | IGI-Global |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-27202015-03-24T00:58:25Z http://ir.unimas.my/id/eprint/2720/ Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique Tze, L.J Kai, M.T Chee, K.N TK Electrical engineering. Electronics Nuclear engineering A search in the literature reveals that the use of fuzzy inference system (FIS) in criterion-referenced assessment (CRA) is not new. However, literature describing how an FIS-based CRA can be implemented in practice is scarce. Besides, for an FIS-based CRA, a large set of fuzzy rules is required and it is a rigorous work in obtaining a full set of rules. The aim of this chapter is to propose an FIS-based CRA procedure that incorporated with a rule selection and a similarity reasoning technique, i.e., analogical reasoning (AR) technique, as a solution for this problem. AR considers an antecedent with an unknown consequent as an observation, and it deduces a conclusion (as a prediction of the consequent) for the observation based on the incomplete fuzzy rule base. A case study conducted in Universiti Malaysia Sarawak is further reported. IGI-Global 2012 Book Chapter NonPeerReviewed text en http://ir.unimas.my/id/eprint/2720/1/Enhancing%20fuzzy%20inference%20system-based%20criterion-referenced%20assessment%20with%20a%20similarity%20reasoning%20technique.pdf Tze, L.J and Kai, M.T and Chee, K.N (2012) Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique. In: -. IGI-Global. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tze, L.J Kai, M.T Chee, K.N Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title | Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title_full | Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title_fullStr | Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title_full_unstemmed | Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title_short | Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| title_sort | enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/2720/ http://ir.unimas.my/id/eprint/2720/1/Enhancing%20fuzzy%20inference%20system-based%20criterion-referenced%20assessment%20with%20a%20similarity%20reasoning%20technique.pdf |