• 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