Digital Library of the European Council for Modelling and Simulation

Title:	Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application
Authors:	Kai Meng Tay, Chee Peng Lim, Tze Ling Jee
Published in:	(2010).ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs. European Council for Modeling and Simulation. doi:10.7148/2010 ISBN: 978-0-9564944-1-2 24^th European Conference on Modelling and Simulation, Simulation Meets Global Challenges Kuala Lumpur, June 1-4 2010
Citation format:	Tay, K. M., Lim, C. P., & Jee, T. L. (2010). Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application. ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs (pp. 213-218). European Council for Modeling and Simulation. doi:10.7148/2010-0213-0218
DOI:	http://dx.doi.org/10.7148/2010-0213-0218
Abstract:	An 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.
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