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Fuzzy discretization techique for bayesian flood disaster model

The use of Bayesian Networks in the domain of disaster management has proven its efficiency in developing the disaster model and has been widely used to represent the logical relationships between variables.Prior to modelling the correlation between the flood factors, it was necessary to discretize...

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主要な著者: Ahmad Azami, Nor Idayu, Yusoff, Nooraini, Ku-Mahamud, Ku Ruhana
フォーマット: 論文
言語:English
出版事項: Universiti Utara Malaysia Press 2018
主題:
QA75 Electronic computers. Computer science
オンライン･アクセス:http://repo.uum.edu.my/24019/1/JICT%2018%202%202018%20167%E2%80%93189.pdf
http://repo.uum.edu.my/24019/
http://jict.uum.edu.my/index.php/current-issues#A1
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record_format eprints
spelling my.uum.repo.240192018-04-29T01:41:29Z http://repo.uum.edu.my/24019/ Fuzzy discretization techique for bayesian flood disaster model Ahmad Azami, Nor Idayu Yusoff, Nooraini Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science The use of Bayesian Networks in the domain of disaster management has proven its efficiency in developing the disaster model and has been widely used to represent the logical relationships between variables.Prior to modelling the correlation between the flood factors, it was necessary to discretize the continuous data due to the weakness of the Bayesian Network to handle such variables.Therefore, this paper aimed to propose a data discretization technique and compare the existing discretization techniques to produce a spatial correlation model.In particular, the main contribution of this paper was to propose a fuzzy discretization method for the Bayesian-based flood model. The performance of the model is based on precision, recall, F-measure, and the receiver operating characteristic area.The experimental results demonstrated that the fuzzy discretization method provided the best measurements for the correlation model. Consequently, the proposed fuzzy discretization technique facilitated the data input for the flood model and was able to help the researchers in developing effective early warning systems in the future. In addition, the results of correlation were prominent in disaster management to provide reference that may help the government, planners, and decision-makers to perform actions and mitigate flood events. Universiti Utara Malaysia Press 2018 Article PeerReviewed application/pdf en http://repo.uum.edu.my/24019/1/JICT%2018%202%202018%20167%E2%80%93189.pdf Ahmad Azami, Nor Idayu and Yusoff, Nooraini and Ku-Mahamud, Ku Ruhana (2018) Fuzzy discretization techique for bayesian flood disaster model. Journal of Information and Communication Technology, 18 (2). pp. 167-189. ISSN 2180-3862 http://jict.uum.edu.my/index.php/current-issues#A1
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad Azami, Nor Idayu
Yusoff, Nooraini
Ku-Mahamud, Ku Ruhana
Fuzzy discretization techique for bayesian flood disaster model
description The use of Bayesian Networks in the domain of disaster management has proven its efficiency in developing the disaster model and has been widely used to represent the logical relationships between variables.Prior to modelling the correlation between the flood factors, it was necessary to discretize the continuous data due to the weakness of the Bayesian Network to handle such variables.Therefore, this paper aimed to propose a data discretization technique and compare the existing discretization techniques to produce a spatial correlation model.In particular, the main contribution of this paper was to propose a fuzzy discretization method for the Bayesian-based flood model. The performance of the model is based on precision, recall, F-measure, and the receiver operating characteristic area.The experimental results demonstrated that the fuzzy discretization method provided the best measurements for the correlation model. Consequently, the proposed fuzzy discretization technique facilitated the data input for the flood model and was able to help the researchers in developing effective early warning systems in the future. In addition, the results of correlation were prominent in disaster management to provide reference that may help the government, planners, and decision-makers to perform actions and mitigate flood events.
format Article
author Ahmad Azami, Nor Idayu
Yusoff, Nooraini
Ku-Mahamud, Ku Ruhana
author_facet Ahmad Azami, Nor Idayu
Yusoff, Nooraini
Ku-Mahamud, Ku Ruhana
author_sort Ahmad Azami, Nor Idayu
title Fuzzy discretization techique for bayesian flood disaster model
title_short Fuzzy discretization techique for bayesian flood disaster model
title_full Fuzzy discretization techique for bayesian flood disaster model
title_fullStr Fuzzy discretization techique for bayesian flood disaster model
title_full_unstemmed Fuzzy discretization techique for bayesian flood disaster model
title_sort fuzzy discretization techique for bayesian flood disaster model
publisher Universiti Utara Malaysia Press
publishDate 2018
url http://repo.uum.edu.my/24019/1/JICT%2018%202%202018%20167%E2%80%93189.pdf
http://repo.uum.edu.my/24019/
http://jict.uum.edu.my/index.php/current-issues#A1
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score 13.250246

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