Improving internal-valued inferencing with Likelihod Ratio

Lim, Chee Kau (2019) Improving internal-valued inferencing with Likelihod Ratio. Malaysian Journal of Computer Science, 32 (3). pp. 209-220. ISSN 0127-9084, DOI

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This paper point out the limitations of Interval-Valued Inferencing as a defuzzification method for inference engines based on the Bandler-Kohout subproduct. As an improvement, a measurement on the likelihood of an inference result in an acceptance/rejection band suggested. With this improvement, more meaningful results are generated from a Bandler-Kohout subproduct based inference system, especially if it is implemented as a medical decision support system. To demonstrate the capability of this improvement, an experiment with a popular dataset is carried out. © 2019, Faculty of Computer Science and Information Technology.

Item Type: Article
Funders: BKP Research Grant of University Malaya (Project No. BK071-2016)
Uncontrolled Keywords: BK Subproduct; Defuzzification; Interval-Valued Inferencing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 13 Apr 2020 07:35
Last Modified: 13 Apr 2020 07:35

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