Citation
Mohd Aris, Teh Noranis and Zolkepli, Maslina and Che Pa, Noraini and Hamdan, Hazlina and Nazeer, Shahrin Azuan
(2017)
Fuzzy logic model for flood warning expert system integrating multi-agent and ontology.
Journal of Engineering and Applied Sciences, 12 (12).
3124 - 3129.
ISSN 1816-949X; ESSN: 1818-7803
Abstract
An expert system is vital in flood warning to determine the decision making output in order for a proper control of the input consisting of river level and rainfall. The river level and rainfall input is naturally stochastic, uncertain and unpredictable. Therefore, a fuzzy logic model of the flood warning expert system has been designed for user to obtain information about flood. This fuzzy model integrates multi-agent and ontology and expected to handle both uncertainty and accuracy issues whereas previous researches focus on handling either uncertainty or accuracy issues only. Simulation of outcome based on river level and rainfall is presented in this study.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.3923/jeasci.2017.3124.3129 |
| Publisher: | Medwell Journals |
| Keywords: | Fuzzy logic model; Flood; Expert system; Multi agent; Ontology |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 27 Feb 2019 08:37 |
| Last Modified: | 27 Feb 2019 08:37 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3923/jeasci.2017.3124.3129 |
| URI: | http://psasir.upm.edu.my/id/eprint/61928 |
| Statistic Details: | View Download Statistic |
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