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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 Rule-based System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this...

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Main Authors: Mansor, R., Mat Kasim, M., Othman, M.
Format: Article
Published: Universiti Teknikal Malaysia Melaka 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011411527&partnerID=40&md5=4697f240a0b2d0d8de6ff62b6e02dbc5
http://eprints.utp.edu.my/25894/
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spelling my.utp.eprints.258942021-08-27T13:09:57Z A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand - A framework Mansor, R. Mat Kasim, M. Othman, M. 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 Rule-based System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this paper proposed two frameworks: MFRBS-WSBA 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 NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011411527&partnerID=40&md5=4697f240a0b2d0d8de6ff62b6e02dbc5 Mansor, R. and Mat Kasim, M. and Othman, M. (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. http://eprints.utp.edu.my/25894/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
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 Rule-based System with Weighted Subsethood-based Algorithm (MFRBS-WSBA) for forecasting electricity load demand. Specifically, this paper proposed two frameworks: MFRBS-WSBA 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, R.
Mat Kasim, M.
Othman, M.
spellingShingle Mansor, R.
Mat Kasim, M.
Othman, M.
A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand - A framework
author_facet Mansor, R.
Mat Kasim, M.
Othman, M.
author_sort Mansor, R.
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 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011411527&partnerID=40&md5=4697f240a0b2d0d8de6ff62b6e02dbc5
http://eprints.utp.edu.my/25894/
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score 13.211869

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