DocumentCode :
1855900
Title :
Fuzzy Rule Base for Analytical Demand Forecasting Enhancement
Author :
Pratondo, Agus
Author_Institution :
Dept. of Inf. Technol., Telkom Polytech., Bandung, Indonesia
fYear :
2010
fDate :
2-3 Dec. 2010
Firstpage :
188
Lastpage :
190
Abstract :
Demand data can be viewed as a number series from time to time. The series may be a pattern that can be analyzed for the next demand prediction if the slice of time is constant. The demand series which the time slice is constant can forecast the next demand valued by applying a formula. There are many methods to forecast the next demand. All formulas calculate the next demand by using the fact of demand as a pure number series. The next demand value is derived from analytical process using mathematics equation, from the simplest way to the complex one. In fact, the demand is influenced by environment factor, for example social and politics exchange, disaster, and mode. The demand forecasting must be reevaluated by considering the environment factors. The environment factor usually has uncertainty value which is good using fuzzy value. That is why the best way to enhance the demand forecasting is calculation using fuzzy rule base.
Keywords :
demand forecasting; forecasting theory; fuzzy set theory; time series; analytical demand forecasting enhancement; demand prediction; demand series; environtment factor; fuzzy rule; mathematics equation; number series; time slice; Demand forecasting; Fuzzy logic; History; Mathematical model; Polynomials; analitic; demand; environment; forecasting; fuzzy; series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Control and Telecommunication Technologies (ACT), 2010 Second International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4244-8746-2
Electronic_ISBN :
978-0-7695-4269-0
Type :
conf
DOI :
10.1109/ACT.2010.61
Filename :
5675812
Link To Document :
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