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A Web Based Belief Rule Based Expert System for Assessing Flood Risk
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-3090-7645
Department of Computer Science and Engineering, University of Chittagong.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
2017 (English)In: iiWAS'17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services, New York: ACM Digital Library, 2017, p. 434-440Conference paper, Published paper (Refereed)
Abstract [en]

Natural calamities such as flooding, volcanic eruption, tornado hampers our daily life and causes many sufferings. Flood is one of the most catastrophic among the natural calamities. Assessing flood risk helps us to take necessary steps and save human lives. Several heterogeneous factors are used to assess flood risk on the livelihood of an area. Moreover, several types of uncertainties can be associated with each factor. In this paper, we propose a web based flood risk assessment expert system by combining belief rule base with the capability of reading data and generating web-based output. This paper also introduces a generic RESTful API which can be used without writing the belief rule based expert system from scratch. This expert system will facilitate the monitoring of the various flood risk factors, contributing in increasing the flood risk on livelihood of an area. Eventually, the decision makers should be able to take measures to control those factors and to reduce the risk of flooding in an area. Data for the expert system has been collected from a case study area by conducting interviews.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2017. p. 434-440
Keywords [en]
Belief Rule Based Expert System, Uncertainty, Flood Risk Assessment, RESTful API, Web Based Application
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-66764DOI: 10.1145/3151759.3151807Scopus ID: 2-s2.0-85044285529ISBN: 978-1-4503-5299-4 (electronic)OAI: oai:DiVA.org:ltu-66764DiVA, id: diva2:1160376
Conference
19th International Conference on Information Integration and Web-based Applications & Services (iiWAS2017), Salzburg, Austria, 4-6 december 2017
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networksAvailable from: 2017-11-27 Created: 2017-11-27 Last updated: 2018-07-23Bibliographically approved

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Islam, Raihan UlAndersson, Karl

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Hridoy, Md Rafiul SabbirIslam, Raihan UlAndersson, Karl
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CiteExportLink to record
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Citation style
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