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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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka
2016
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| Online Access: | https://repo.uum.edu.my/id/eprint/20504/1/JTEC%208%208%202016%2097%20102.pdf |
| _version_ | 1803627913928507392 |
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| author | Mansor, Rosnalini Mat Kasim, Maznah Othman, Mahmod |
| author_facet | Mansor, Rosnalini Mat Kasim, Maznah Othman, Mahmod |
| author_sort | Mansor, Rosnalini |
| collection | UUM |
| 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 |
| first_indexed | 2024-07-04T06:13:37Z |
| format | Article |
| id | uum-20504 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:13:37Z |
| publishDate | 2016 |
| publisher | Universiti Teknikal Malaysia Melaka |
| record_format | dspace |
| spelling | uum-205042017-01-03T03:42:55Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/20504/1/JTEC%208%208%202016%2097%20102.pdf |
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