Article ID: | iaor19971181 |
Country: | France |
Volume: | 29 |
Issue: | 3 |
Start Page Number: | 259 |
End Page Number: | 284 |
Publication Date: | Jul 1995 |
Journal: | RAIRO Operations Research |
Authors: | Makridasis Spyros |
Accurate forecasts are essential for a great number of applictions yet large errors and considerable uncertainty characterize most of the present attempts for predicting the future. This article surveys empirical studies on forecasting accuracy, summarizing their conclusions and examining the implications involved. It then discusses the effects of system complexity on forecasting accuracy and the related uncertainty while predicting future events. Finally, it provides suggestions for forecasting as accurately and realistically as possible when large and complex systems are involved.