IMPROVING INTERNAL-VALUED INFERENCING WITH LIKELIHOD RATIO

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Lim Chee Kau

Abstract

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.

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How to Cite
CHEE KAU, Lim. IMPROVING INTERNAL-VALUED INFERENCING WITH LIKELIHOD RATIO. Malaysian Journal of Computer Science, [S.l.], v. 32, n. 3, p. 209-220, july 2019. ISSN 0127-9084. Available at: <https://ejournal.um.edu.my/index.php/MJCS/article/view/19256>. Date accessed: 19 aug. 2019. doi: https://doi.org/10.22452/mjcs.vol32no3.3.
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