Intelligent decision support systems for oil price forecasting
This research studies the application of hybrid algorithms for predicting the prices of crude oil. Brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predic...
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The Interntaional Journal of Information Science and Management
2015
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my.iium.irep.461962017-11-27T09:42:17Z http://irep.iium.edu.my/46196/ Intelligent decision support systems for oil price forecasting Chiroma, Haruna Zavareh, Adeleh Asemi Baba, Mohd Sapiyan Ibrahim, Adamu Abubakar Gital, Abdulsam Ya'u Zambuk, Fatima Umar Q350 Information theory This research studies the application of hybrid algorithms for predicting the prices of crude oil. Brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. The proposed model was able to predict future crude oil prices from August 2013 to July 2014. Future prices can guide decision makers in economic planning and taking effective measures to tackle the negative impact of crude oil price volatility. Energy demand and supply projection can effectively be tackled with accurate forecasts of crude oil prices, which in turn can create stability in the oil market. The future crude oil prices predict by the intelligent decision support systems can be used by both government and international organizations related to crude oil such as organization of petroleum exporting countries (OPEC) for policy formulation in the next one year. The Interntaional Journal of Information Science and Management 2015-04 Article REM application/pdf en http://irep.iium.edu.my/46196/1/IJISM.pdf application/pdf en http://irep.iium.edu.my/46196/4/46196_Intelligent%20decision%20support%20systems%20for%20oil%20price%20forecasting_SCOPUS.pdf Chiroma, Haruna and Zavareh, Adeleh Asemi and Baba, Mohd Sapiyan and Ibrahim, Adamu Abubakar and Gital, Abdulsam Ya'u and Zambuk, Fatima Umar (2015) Intelligent decision support systems for oil price forecasting. International Journal of Information Science and Management (IJISM), Spec.. pp. 47-59. ISSN 2008-8310 http://ijism.ricest.ac.ir/index.php/ijism/article/view/671 |
| institution |
Universiti Islam Antarabangsa Malaysia |
| building |
IIUM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
International Islamic University Malaysia |
| content_source |
IIUM Repository (IREP) |
| url_provider |
http://irep.iium.edu.my/ |
| language |
English English |
| topic |
Q350 Information theory |
| spellingShingle |
Q350 Information theory Chiroma, Haruna Zavareh, Adeleh Asemi Baba, Mohd Sapiyan Ibrahim, Adamu Abubakar Gital, Abdulsam Ya'u Zambuk, Fatima Umar Intelligent decision support systems for oil price forecasting |
| description |
This research studies the application of hybrid algorithms for predicting the prices of crude oil. Brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. The proposed model was able to predict future crude oil prices from August 2013 to July 2014. Future prices can guide decision makers in economic planning and taking effective measures to tackle the negative impact of crude oil price volatility. Energy demand and supply projection can effectively be tackled with accurate forecasts of crude oil prices, which in turn can create stability in the oil market. The future crude oil prices predict by the intelligent decision support systems can be used by both government and international organizations related to crude oil such as organization of petroleum exporting countries (OPEC) for policy formulation in the next one year. |
| format |
Article |
| author |
Chiroma, Haruna Zavareh, Adeleh Asemi Baba, Mohd Sapiyan Ibrahim, Adamu Abubakar Gital, Abdulsam Ya'u Zambuk, Fatima Umar |
| author_facet |
Chiroma, Haruna Zavareh, Adeleh Asemi Baba, Mohd Sapiyan Ibrahim, Adamu Abubakar Gital, Abdulsam Ya'u Zambuk, Fatima Umar |
| author_sort |
Chiroma, Haruna |
| title |
Intelligent decision support systems for oil price forecasting |
| title_short |
Intelligent decision support systems for oil price forecasting |
| title_full |
Intelligent decision support systems for oil price forecasting |
| title_fullStr |
Intelligent decision support systems for oil price forecasting |
| title_full_unstemmed |
Intelligent decision support systems for oil price forecasting |
| title_sort |
intelligent decision support systems for oil price forecasting |
| publisher |
The Interntaional Journal of Information Science and Management |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/46196/1/IJISM.pdf http://irep.iium.edu.my/46196/4/46196_Intelligent%20decision%20support%20systems%20for%20oil%20price%20forecasting_SCOPUS.pdf http://irep.iium.edu.my/46196/ http://ijism.ricest.ac.ir/index.php/ijism/article/view/671 |
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1643612943851454464 |
| score |
13.251813 |