relation: https://khub.utp.edu.my/scholars/7517/
title: A weighted subsethood mamdani fuzzy rules based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand - A framework
creator: Mansor, R.
creator: Mat Kasim, M.
creator: Othman, M.
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.
publisher: Universiti Teknikal Malaysia Melaka
date: 2016
type: Article
type: PeerReviewed
identifier:   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.  ISSN 21801843     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011411527&partnerID=40&md5=4697f240a0b2d0d8de6ff62b6e02dbc5