Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique

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.

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Abstract

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.

Item Type: Book Section
Additional Information: Universiti Malaysia Sarawak, (UNIMAS)
Uncontrolled Keywords: Fuzzy inference system, criterion-referenced assessment, FIS, CRA, UNIMAS, Universiti Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 20 May 2014 01:09
Last Modified: 24 Mar 2015 00:58
URI: http://ir.unimas.my/id/eprint/2720

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