NDLI: Fuzzy Rule Base for Analytical Demand Forecasting Enhancement

Content Provider	IEEE Xplore Digital Library
Author	Pratondo, A.
Copyright Year	2010
Abstract	Demand data can be viewed as a number series from time to time. The series may be a pattern that can be analized 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 aplying 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 analitical process using mathematics equation, from the simplest way to the complex one. In fact, the demand is influenced by environtment factor, for example social and politics exchange, disaster, and mode. The demand forecasting must be reevaluated by considering the environtment factors. The environtment 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.
Starting Page	188
Ending Page	190
File Size	513573
Page Count	3
File Format	PDF
ISBN	9781424487462
DOI	10.1109/ACT.2010.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-02
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Demand Series Demand forecasting Environment Polynomials Fuzzy Mathematical model History Forecasting Analitic
Content Type	Text
Resource Type	Article

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