Title :
A Fuzzy Time Series Model to Forecast the BDI
Author_Institution :
Dept. of Aviation & Martime Transp. Manage., Chang Jung Christian Univ., Tainan
Abstract :
Fuzzy time series models has been applied to forecast various problems and have been shown to forecast better than other models. In this article, we intend to apply Chou and Lee´s fuzzy time series model to forecast the Baltic Dry Index (BDI) index for the next month. The root mean square error is one criteria to evaluate the forecasting performance. Empirical results show that the fuzzy time series model is suitable for the BDIpsilas prediction.
Keywords :
economic forecasting; economic indicators; fuzzy set theory; mean square error methods; time series; transportation; Baltic dry index; fuzzy forecasting; fuzzy time series; Computer network management; Computer networks; Conference management; Economic forecasting; Fuzzy sets; Fuzzy systems; Information management; Predictive models; Root mean square; Transportation; BDI; Fuzzy forecasting; Fuzzy time series;
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
DOI :
10.1109/NCM.2008.94
