{"title":"Fuzzy Rule Base for Analytical Demand Forecasting Enhancement","authors":"Agus Pratondo","doi":"10.1109/ACT.2010.61","DOIUrl":null,"url":null,"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.","PeriodicalId":147311,"journal":{"name":"2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACT.2010.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
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.