A Forecasting Decision Support System
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
59-64 頁
2008-12 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00025621
| ファイル情報(添付) | |
| タイトル ( eng ) |
A Forecasting Decision Support System
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| 作成者 |
Sayed Hanaa E.
Gabbar Hossam A.
Fouad Soheir A.
Ahmed Khalil M.
Miyazaki Shigeji
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| 収録物名 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
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| 開始ページ | 59 |
| 終了ページ | 64 |
| 抄録 |
Nowadays forecasting is needed in many fields such as weather forecasting, population estimation, industry demand forecasting, and many others. As complexity and factors increase, it becomes impossible for a human being to do the prediction operation without support of computer system. A Decision support system is needed to model all demand factors and combine with expert opinions to enhance forecasting accuracy. In this research work, we present a decision support system using winters', simple exponential smoothing, and regression statistical analysis with a new proposed genetic algorithm to generate operational forecast. A case study is presented using real industrial demand data from different products types to show the improved demand forecasting accuracy for the proposed system over individual statistical techniques for all time series types.
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| 著者キーワード |
Forecasting
Regression Analysis
Genetic Algorithm
Support System
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2008-12 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
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