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 https://doi.org/10.22452/mjcs.vol32no3.3.
Full text not available from this repository.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. © 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 |
| URI: | http://eprints.um.edu.my/id/eprint/24205 |
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