A fuzzy inference system-based criterion-referenced assessment model

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...

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Main Authors: Kai, Meng Tay, Chee, Peng Lim
Format: Article
Published: Elsevier Ltd 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/2961/
id unimas-2961
recordtype eprints
spelling unimas-29612015-03-23T08:10:35Z http://ir.unimas.my/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..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Sarawak
building UNIMAS Institutional Repository
collection Online Access
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kai, Meng Tay
Chee, Peng Lim
A fuzzy inference system-based criterion-referenced assessment model
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.
format Article
author Kai, Meng Tay
Chee, Peng Lim
author_facet Kai, Meng Tay
Chee, Peng Lim
author_sort Kai, Meng Tay
title A fuzzy inference system-based criterion-referenced assessment model
title_short 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_sort fuzzy inference system-based criterion-referenced assessment model
publisher Elsevier Ltd
publishDate 2011
url http://ir.unimas.my/2961/
first_indexed 2018-09-06T14:54:49Z
last_indexed 2018-09-06T14:54:49Z
_version_ 1610870360589205504

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