| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10523043 | Computers & Industrial Engineering | 2011 | 13 Pages |
Abstract
⺠We develop a structured collaborative demand forecasting based on fuzzy judgements. ⺠We examine differences in adjustments between single and multiple forecasters. ⺠Errors are reduced thanks to the combination of fragmented information. ⺠Fuzzy evaluation copes with the uncertainty of the impact of future events.
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Industrial and Manufacturing Engineering
Authors
Naoufel Cheikhrouhou, François Marmier, Omar Ayadi, Philippe Wieser,