eprintid: 10223
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/02/23
datestamp: 2023-11-09 16:36:51
lastmod: 2023-11-09 16:36:51
status_changed: 2023-11-09 16:30:53
type: article
metadata_visibility: show
creators_name: Rahim, N.F.
creators_name: Othman, M.
creators_name: Sokkalingam, R.
creators_name: Abdul Kadir, E.
title: Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method
ispublished: pub
keywords: Costs; Embedded systems; Forecasting; Fuzzy rules; Human resource management; Investments; Knowledge management; Numerical methods; Oil shale; Palm oil; Time series, Capital investment; Fuzzy if-then rules; Fuzzy time series; Numerical results; Risks and uncertainties; Subsethood; Time series forecasting; Time series method, Fuzzy inference
note: cited By 22
abstract: Oil palm can be reflected as the main contributor to capital investment, technology, foreign workers' employment, and knowledge management. There are risks and uncertainties arising from instability of crude palm oil (CPO) prices. Therefore, this research develops a new CPO price forecasting method using weighted subsethood-based algorithm in order to generate fuzzy rules of forecasting. The concept of fuzzy rule-based systems was embedded in fuzzy time series application to generate fuzzy IF-THEN rules. This paper aims to enhance the efficacy of time-series forecasting, which would in turn increase the accuracy of the predictions. The CPO prices data set was used for validation purposes. The accuracy of forecasting of the proposed method was compared with previous methods. The numerical results are comparable with the previous methods. The outcomes of the proposed method have shown an increase in the accuracies of the CPO price forecasts. As such, the above-mentioned method can be utilized for the creation of a new set of fuzzy rules to better predict CPO prices. © 2013 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048566440&doi=10.1109%2fACCESS.2018.2846809&partnerID=40&md5=b04d197c34756d2c1d0a78d0304b6644
id_number: 10.1109/ACCESS.2018.2846809
full_text_status: none
publication: IEEE Access
volume: 6
pagerange: 32216-32224
refereed: TRUE
issn: 21693536
citation:   Rahim, N.F. and Othman, M. and Sokkalingam, R. and Abdul Kadir, E.  (2018) Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method.  IEEE Access, 6.  pp. 32216-32224.  ISSN 21693536