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SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY

ignificant wave height parameter plays an important role in ocean and coastal activities. However, the forecasting process of this parameter involved with uncertainty due to the nature of data. In past decades, fuzzy logic was introduced by Zadeh that enables a computer system to reason with unce...

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Main Author: 'ABDUL HASHIM, MAYMUNAH
Format: Thesis
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://utpedia.utp.edu.my/id/eprint/22681/1/2013-COMPUTER%20AND%20INFORMATION%20SCIENCES-SIGNIFICANT%20WAVE%20HEIGHT%20FORECASTING%20BY%20USING%20TYPE-2%20FUZZY-MAYMUNAH%20BT%20%27ABDUL%20HASHIM.pdf
http://utpedia.utp.edu.my/id/eprint/22681/
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spelling oai:utpedia.utp.edu.my:226812024-07-24T00:51:33Z http://utpedia.utp.edu.my/id/eprint/22681/ SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY 'ABDUL HASHIM, MAYMUNAH QA75 Electronic computers. Computer science ignificant wave height parameter plays an important role in ocean and coastal activities. However, the forecasting process of this parameter involved with uncertainty due to the nature of data. In past decades, fuzzy logic was introduced by Zadeh that enables a computer system to reason with uncertainty. This theory had widely applied in many applications, including wave parameter forecasting. Currently, wave height forecasting techniques were focusing on using Type-1 fuzzy method. This technique has a limitation in handling and minimizing uncertainties 'which affect the accuracy ofthe forecasting result. Therefore, this research is aimed to propose a method on forecasting significant wave height by using Type-2 fuzzy. 2014 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/22681/1/2013-COMPUTER%20AND%20INFORMATION%20SCIENCES-SIGNIFICANT%20WAVE%20HEIGHT%20FORECASTING%20BY%20USING%20TYPE-2%20FUZZY-MAYMUNAH%20BT%20%27ABDUL%20HASHIM.pdf 'ABDUL HASHIM, MAYMUNAH (2014) SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY. Masters thesis, UTP.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
'ABDUL HASHIM, MAYMUNAH
SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
description ignificant wave height parameter plays an important role in ocean and coastal activities. However, the forecasting process of this parameter involved with uncertainty due to the nature of data. In past decades, fuzzy logic was introduced by Zadeh that enables a computer system to reason with uncertainty. This theory had widely applied in many applications, including wave parameter forecasting. Currently, wave height forecasting techniques were focusing on using Type-1 fuzzy method. This technique has a limitation in handling and minimizing uncertainties 'which affect the accuracy ofthe forecasting result. Therefore, this research is aimed to propose a method on forecasting significant wave height by using Type-2 fuzzy.
format Thesis
author 'ABDUL HASHIM, MAYMUNAH
author_facet 'ABDUL HASHIM, MAYMUNAH
author_sort 'ABDUL HASHIM, MAYMUNAH
title SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
title_short SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
title_full SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
title_fullStr SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
title_full_unstemmed SIGNIFICANT WAVE HEIGHT FORECASTING BY USING TYPE-2 FUZZY
title_sort significant wave height forecasting by using type-2 fuzzy
publishDate 2014
url http://utpedia.utp.edu.my/id/eprint/22681/1/2013-COMPUTER%20AND%20INFORMATION%20SCIENCES-SIGNIFICANT%20WAVE%20HEIGHT%20FORECASTING%20BY%20USING%20TYPE-2%20FUZZY-MAYMUNAH%20BT%20%27ABDUL%20HASHIM.pdf
http://utpedia.utp.edu.my/id/eprint/22681/
_version_ 1805891070901354496
score 13.223943

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