An agent-based ontology fuzzy logic conceptual model for flood warning prediction

Citation

Mohd Aris, Teh Noranis and Hamdan, Hazlina and Che Pa, Noraini and Nazeer, Shahrin Azuan (2015) An agent-based ontology fuzzy logic conceptual model for flood warning prediction. In: Academics World 12th International Conference, 20 Dec. 2015, Singapore. (pp. 36-39).

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
Keywords:	Agent; Ontology; Fuzzy; Flood; Prediction
Depositing User:	Mohd Hafiz Che Mahasan
Date Deposited:	12 Jul 2018 10:11
Last Modified:	12 Jul 2018 10:11
URI:	http://psasir.upm.edu.my/id/eprint/55008
Statistic Details:	View Download Statistic

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