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A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework

Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rulebased System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this pa...

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Main Authors: Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/20504/1/JTEC%208%208%202016%2097%20102.pdf
http://repo.uum.edu.my/20504/
http://journal.utem.edu.my/index.php/jtec/article/view/1326
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spelling my.uum.repo.205042017-01-03T03:42:55Z http://repo.uum.edu.my/20504/ A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework Mansor, Rosnalini Mat Kasim, Maznah Othman, Mahmod QA75 Electronic computers. Computer science Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rulebased System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this paper proposed two frameworks: MFRBSWSBA and WSBA framework where the WSBA is embedded in MFRBS-WSBA (fourth step in MFRBS-WSBA).The objective of this paper is to show the fourth step in the MFRBS-WSBA framework which applied the new electricity load forecasting rule extraction by WSBA method.We apply the proposed WSBA framework in Malaysia electricity load demand data as a numerical example in this paper.These preliminary results show that the WSBA framework can be one of alternative methods to extract fuzzy rules for forecast electricity load demand where the proposed method provide a simple to interpret the fuzzy rules and also offer a new direction to interpret the fuzzy rules compared to classical fuzzy rules Universiti Teknikal Malaysia Melaka 2016 Article PeerReviewed application/pdf en cc_by http://repo.uum.edu.my/20504/1/JTEC%208%208%202016%2097%20102.pdf Mansor, Rosnalini and Mat Kasim, Maznah and Othman, Mahmod (2016) A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework. Journal of Telecommunication, Electronic and Computer Engineering, 8 (8). pp. 97-102. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1326
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
Mansor, Rosnalini
Mat Kasim, Maznah
Othman, Mahmod
A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
description Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rulebased System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this paper proposed two frameworks: MFRBSWSBA and WSBA framework where the WSBA is embedded in MFRBS-WSBA (fourth step in MFRBS-WSBA).The objective of this paper is to show the fourth step in the MFRBS-WSBA framework which applied the new electricity load forecasting rule extraction by WSBA method.We apply the proposed WSBA framework in Malaysia electricity load demand data as a numerical example in this paper.These preliminary results show that the WSBA framework can be one of alternative methods to extract fuzzy rules for forecast electricity load demand where the proposed method provide a simple to interpret the fuzzy rules and also offer a new direction to interpret the fuzzy rules compared to classical fuzzy rules
format Article
author Mansor, Rosnalini
Mat Kasim, Maznah
Othman, Mahmod
author_facet Mansor, Rosnalini
Mat Kasim, Maznah
Othman, Mahmod
author_sort Mansor, Rosnalini
title A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
title_short A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
title_full A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
title_fullStr A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
title_full_unstemmed A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
title_sort weighted subsethood mamdani fuzzy rules based system rule extraction (mfrbs-wsba) for forecasting electricity load demand – a framework
publisher Universiti Teknikal Malaysia Melaka
publishDate 2016
url http://repo.uum.edu.my/20504/1/JTEC%208%208%202016%2097%20102.pdf
http://repo.uum.edu.my/20504/
http://journal.utem.edu.my/index.php/jtec/article/view/1326
_version_ 1644282974553767936
score 13.211869

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