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PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL

A prediction model involves a high-level of uncertainties. Hence, Fuzzy Type-2 (FT2) is the enhanced version of fuzzy logic which has better capability in dealing with uncertainty problem. FT2 method was selected because it has better ability than Fuzzy Type-1 (FT1) and crisp methods in handling unc...

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Main Author: ZAMBRI, INTAN NADHIRAH
Format: Final Year Project
Language:English
Published: IRC 2019
Subjects:
Q Science (General)
Online Access:http://utpedia.utp.edu.my/20902/1/Intan%20Nadhirah%20Zambri_22959.pdf
http://utpedia.utp.edu.my/20902/
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spelling my-utp-utpedia.209022021-09-09T19:57:50Z http://utpedia.utp.edu.my/20902/ PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL ZAMBRI, INTAN NADHIRAH Q Science (General) A prediction model involves a high-level of uncertainties. Hence, Fuzzy Type-2 (FT2) is the enhanced version of fuzzy logic which has better capability in dealing with uncertainty problem. FT2 method was selected because it has better ability than Fuzzy Type-1 (FT1) and crisp methods in handling uncertainties. Besides, FT2 also has a better performance than General Type-2 (GT2). However, the implementation of Fuzzy Type-2 (FT2) has been widely used in today’s technology by using a Matlab and R programming language and it is hardly been seen that this method is been implemented using a Python language. Therefore, in this paper, it is proposed that the FT2 using Python language is developed for prediction model. This paper reviews previous research that are related to the FT2 in prediction model as well as the a software tools that has been used for the FT2 method. IRC 2019-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20902/1/Intan%20Nadhirah%20Zambri_22959.pdf ZAMBRI, INTAN NADHIRAH (2019) PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL. IRC, Universiti Teknologi PETRONAS. (Submitted)
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 Q Science (General)
spellingShingle Q Science (General)
ZAMBRI, INTAN NADHIRAH
PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
description A prediction model involves a high-level of uncertainties. Hence, Fuzzy Type-2 (FT2) is the enhanced version of fuzzy logic which has better capability in dealing with uncertainty problem. FT2 method was selected because it has better ability than Fuzzy Type-1 (FT1) and crisp methods in handling uncertainties. Besides, FT2 also has a better performance than General Type-2 (GT2). However, the implementation of Fuzzy Type-2 (FT2) has been widely used in today’s technology by using a Matlab and R programming language and it is hardly been seen that this method is been implemented using a Python language. Therefore, in this paper, it is proposed that the FT2 using Python language is developed for prediction model. This paper reviews previous research that are related to the FT2 in prediction model as well as the a software tools that has been used for the FT2 method.
format Final Year Project
author ZAMBRI, INTAN NADHIRAH
author_facet ZAMBRI, INTAN NADHIRAH
author_sort ZAMBRI, INTAN NADHIRAH
title PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
title_short PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
title_full PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
title_fullStr PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
title_full_unstemmed PYTHON-BASED FUZZY TYPE-2 FOR PREDICTION MODEL
title_sort python-based fuzzy type-2 for prediction model
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20902/1/Intan%20Nadhirah%20Zambri_22959.pdf
http://utpedia.utp.edu.my/20902/
_version_ 1739832810018963456
score 13.211869

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