Fuzzy case-based reasoning for weather prediction

Prediction is the process of the estimation of unknown situation that refers to time-series, cross sectional or longitudinal data. Weather prediction is the process to project how to atmosphere will evolve. Weather is known as continuous, data-intensive, multidimensional, dynamic and chaotic. The ch...

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Main Author:	Wan Husain, Wan Salfarina
Format:	Thesis
Language:	English
Published:	2008
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/9524/1/WanSalfarinaMFSKSM2008.pdf
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id	my-utm-ep.9524
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spelling	my-utm-ep.95242018-07-19T01:51:14Z Fuzzy case-based reasoning for weather prediction 2008-10 Wan Husain, Wan Salfarina QA75 Electronic computers. Computer science Prediction is the process of the estimation of unknown situation that refers to time-series, cross sectional or longitudinal data. Weather prediction is the process to project how to atmosphere will evolve. Weather is known as continuous, data-intensive, multidimensional, dynamic and chaotic. The chaotic nature of atmosphere required the massive computational power in order to solve the equations that describe the atmosphere, and the incomplete understanding of weather can make the prediction become less accurate. Based on this problem, Fuzzy Case-Based Reasoning (FCBR) is introduced in solving the prediction problem. Fuzzy can have the degree of truthfulness and falsehood that can handle uncertainty of the chaotic variables of the weather. Meanwhile Case Based Reasoning (CBR) has an ability to identify the similar cases from the past using the similarity measurement technique such as Euclidean distance. CBR can reduce the knowledge acquisition task and can reason with incomplete and imprecise data or knowledge. This study is conducted to investigate how fuzzy and CBR could solve the prediction problem and how it can improve its performance. From the experiment, it shows that the Fuzzy Case Based Reasoning has improved the accuracy of the weather prediction with achievement of 87%. 2008-10 Thesis http://eprints.utm.my/id/eprint/9524/ http://eprints.utm.my/id/eprint/9524/1/WanSalfarinaMFSKSM2008.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:859?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Wan Husain, Wan Salfarina Fuzzy case-based reasoning for weather prediction
description	Prediction is the process of the estimation of unknown situation that refers to time-series, cross sectional or longitudinal data. Weather prediction is the process to project how to atmosphere will evolve. Weather is known as continuous, data-intensive, multidimensional, dynamic and chaotic. The chaotic nature of atmosphere required the massive computational power in order to solve the equations that describe the atmosphere, and the incomplete understanding of weather can make the prediction become less accurate. Based on this problem, Fuzzy Case-Based Reasoning (FCBR) is introduced in solving the prediction problem. Fuzzy can have the degree of truthfulness and falsehood that can handle uncertainty of the chaotic variables of the weather. Meanwhile Case Based Reasoning (CBR) has an ability to identify the similar cases from the past using the similarity measurement technique such as Euclidean distance. CBR can reduce the knowledge acquisition task and can reason with incomplete and imprecise data or knowledge. This study is conducted to investigate how fuzzy and CBR could solve the prediction problem and how it can improve its performance. From the experiment, it shows that the Fuzzy Case Based Reasoning has improved the accuracy of the weather prediction with achievement of 87%.
format	Thesis
qualification_level	Master's degree
author	Wan Husain, Wan Salfarina
author_facet	Wan Husain, Wan Salfarina
author_sort	Wan Husain, Wan Salfarina
title	Fuzzy case-based reasoning for weather prediction
title_short	Fuzzy case-based reasoning for weather prediction
title_full	Fuzzy case-based reasoning for weather prediction
title_fullStr	Fuzzy case-based reasoning for weather prediction
title_full_unstemmed	Fuzzy case-based reasoning for weather prediction
title_sort	fuzzy case-based reasoning for weather prediction
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2008
url	http://eprints.utm.my/id/eprint/9524/1/WanSalfarinaMFSKSM2008.pdf
_version_	1747814746499842048

Fuzzy case-based reasoning for weather prediction

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