DocumentCode
2742381
Title
A Forecast Model of Hydrologic Single Element Medium and Long-Period Based on Rough Set Theory
Author
Sihui, Dong
Author_Institution
Sch. of Civil & Safety Eng., Dalian Jiaotong Univ., Dalian, China
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
19
Lastpage
25
Abstract
Based on rough set theory, this paper presents the single element medium and long-term classification forecast model which uses historical data of a hydrologic series as forecast factors. The minimal rule set, i.e., forecast pattern set, is achieved according to the principle of maximal attribute significance and rules frequency. Maximal support strength is put forward and applied to predict by using the model. The model is applied to forecast annual runoff of Dahuofang reservoir. The result indicates that the forecast model based on rough set can describe the relationship between forecast factors and forecast object efficiently and accurately. The model, which is composed of simple solution rules, is easily understood and applied.
Keywords
forecasting theory; geophysics computing; hydrological techniques; hydrology; modelling; reservoirs; rough set theory; China; Dahuofang reservoir; annual runoff forecasting; forecast factors; forecast pattern set; hydrologic historical data; long term classification forecast model; maximal attribute significance principle; minimal rule set; rough set theory; rule frequency; single element medium forecast model; Data engineering; Extrapolation; Extraterrestrial measurements; Fuzzy reasoning; Fuzzy systems; Information analysis; Predictive models; Safety; Set theory; Weather forecasting; attribute significance; forecast model; hydrology; medium and long-term forecasts; rough set; single element; support strength;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.356
Filename
5358670
Link To Document