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A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand – a framework
Rosnalini Mansor1, Maznah Mat Kasim2, Mahmod Othman3.
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.
Affiliation:
- Universiti Utara Malaysia, Malaysia
- Universiti Utara Malaysia, Malaysia
- Universiti Teknologi PETRONAS, Malaysia
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Indexation |
Indexed by |
MyJurnal (2019) |
H-Index
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0 |
Immediacy Index
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0.000 |
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0 |
Indexed by |
Scopus (SCImago Journal Rankings 2016) |
Impact Factor
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0 |
Rank |
Q4 (Computer Networks and Communications) Q4 (Electrical and Electronic Engineering) Q4 (Hardware and Architecture) |
Additional Information |
0.112 (SJR) |
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