| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
A Forecasting Decision Support System |
|
言語 |
en |
| 作成者 |
Sayed, Hanaa E.
Gabbar, Hossam A.
Fouad, Soheir A.
Ahmed, Khalil M.
Miyazaki, Shigeji
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
|
|
権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter. |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Forecasting |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Regression Analysis |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Genetic Algorithm |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Support System |
| 主題 |
|
|
主題Scheme |
NDC |
|
主題 |
500 |
| 内容記述 |
|
|
内容記述 |
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. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
IEEE SMC Hiroshima Chapter |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1883-3977 |
| 開始ページ |
|
|
開始ページ |
59 |
| 書誌情報 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
p. 59-64,
発行日 2008-12
|
| 旧ID |
25621 |
10-06-PS080002.pdf (264.7 KB)
