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Enhancing fuzzy inference system based criterion-referenced assessment with an application
conference contribution
posted on 2010-01-01, 00:00 authored by K Tay, Chee Peng LimChee Peng Lim, T JeeAn important and difficult issue in designing a Fuzzy Inference System (FIS) is the specification of fuzzy sets, and fuzzy rules. The aim of this paper is to demonstrate how an additional qualitative information, i.e., monotonicity property, can be exploited and extended to be part of an FIS designing procedure (i.e., fuzzy sets and fuzzy rules design). In this paper, the FIS is employed as an alternative to the use of addition in aggregating the scores from test items/tasks in a Criterion-Referenced Assessment (CRA) model. In order to preserve the monotonicity property, the sufficient conditions of the FIS is proposed. Our proposed FIS based CRA procedure can be viewed as an enhancement for the FIS based CRA procedure, where monotonicity property is preserved. We demonstrate the applicability of the proposed approach with a case study related to a laboratory project assessment task at a university, and the results indicate the usefulness of the proposed approach in the CRA domain.
History
Event
European Conference on Modelling and Simulation (24th : 2010 : Kuala Lumpur, Malaysia)Pagination
213 - 218Publisher
European Council for Modelling and SimulationLocation
Kuala Lumpur, MalaysiaPlace of publication
[Kuala Lumpur, Malaysia]Start date
2010-06-01End date
2010-06-04ISBN-13
9780956494412ISBN-10
0956494412Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
ECMS 2010 : Proceedings of the 24th European Conference on Modelling and SimulationUsage metrics
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criterion-referenced assessmenteducation assessmentfuzzy inference systemmonotonicity propertyScience & TechnologyTechnologyComputer Science, Information SystemsComputer Science, Software EngineeringComputer Science, Theory & MethodsComputer ScienceMAMDANI-ASSILIAN MODELSSTUDENTS EVALUATIONDEFUZZIFICATIONSETS
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