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

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

Content Provider	Semantic Scholar
Author	Kai, Meng Tay Chee, Keh Niang
Copyright Year	2012
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.
Starting Page	302
Ending Page	327
Page Count	26
File Format	PDF HTM / HTML
DOI	10.4018/978-1-4666-1809-1.ch015
Alternate Webpage(s)	https://www.igi-global.com/viewtitlesample.aspx?id=70033&ptid=62616&t=enhancing+fuzzy+inference+system-based+criterion-referenced+assessment+with+a+similarity+reasoning+technique
Alternate Webpage(s)	https://doi.org/10.4018/978-1-4666-1809-1.ch015
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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