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DC Field | Value | Language |
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dc.contributor.author | Wendy Japutra Jap | - |
dc.contributor.author | Then, Patrick Hang Hui, Dr. | - |
dc.date.accessioned | 2012-08-15T08:36:26Z | - |
dc.date.available | 2012-08-15T08:36:26Z | - |
dc.date.issued | 2012-02-27 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20712 | - |
dc.description | International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. | en_US |
dc.description.abstract | The integration of quantitative and judgmental forecasting methods have been increasingly applied to give better performance to forecast. Judgmental adjustment is one instance of integrating both methods and it has been gaining recognition among forecasting practitioners because of its quick and convenient way to perform forecast. However, many criticize this approach because of its disadvantages, i.e. bias and inconsistency which are associated to the human. We are proposing a forecasting framework that aids the process of judgmental adjustment by providing supportive information to reduce the effect of bias and inconsistency. The proposed framework comprises five different modules, i.e. time series graphical display, quantitative forecast, news-based supportive information, user comment and similaritybased pattern search. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) | en_US |
dc.subject | Time series | en_US |
dc.subject | Forecasting | en_US |
dc.subject | Judgmental adjustment | en_US |
dc.subject | News article | en_US |
dc.subject | Forecasting support system | en_US |
dc.title | Deriving domain knowledge from unstructured information: A forecasting framework based on judgmental adjustment approach | en_US |
dc.type | Working Paper | en_US |
dc.publisher.department | School of Mechatronic Engineering | en_US |
dc.contributor.url | wjap@swinburne.edu.my | en_US |
dc.contributor.url | pthen@swinburne.edu.my | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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132-28969_Deriving Domain Knowledge from Unstructured Information A Forecasting Framework Based on Judgmental Adjustment ~1.pdf | Access is limited to UniMAP community | 176.91 kB | Adobe PDF | View/Open |
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