DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-3,Issue-2 ( Feb, 2016 ) | |||||||||
Paper Title |
An Agent-Based Ontology Fuzzy Logic Conceptual Model For Flood Warning Prediction | |||||||||
Author Name |
Teh Noranis Mohd Aris, Hazlina Hamdan, Noraini Che Pa, Shahrin Azuan Nazeer | |||||||||
Affilition |
Computer Science Department, Software Engineering and Information System DepartmentUniversity Putra Malaysia, Telekom Research and Development, TM Innovation Centre, Cyberjaya, Malaysia | |||||||||
Pages |
83-86 | |||||||||
Abstract |
In this paper, a flood prediction conceptual model that integrates software agent, ontology and fuzzy logic is proposed. The agent role is to provide information on flood based on river level and rainfall by giving notification to users. The ontology organizes flood knowledge in order to support agent communication. Fuzzy logic will be applied to predict uncertain whether situations. Keywords— Agent, Ontology, Fuzzy, Flood, Prediction. | |||||||||
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