期刊論文

學年 99
學期 2
出版(發表)日期 2011-03-01
作品名稱 Forecasting in fuzzy systems
作品名稱(其他語言)
著者 Wang, Hsiao-fan; Tsaur, Ruey-chyn
單位 淡江大學管理科學學系
出版者 Singapore: World Scientific Publishing Co. Pte. Ltd.
著錄名稱、卷期、頁數 International Journal of Information Technology & Decision Making 10(2), pp.333-352
摘要 Fuzzy regression has been applied to marketing, management, and sales forecasting for many years. In this paper, two types of forecasting methods within the framework of fuzzy regression analysis are discussed. The first type is a conventional forecasting method, which intends to find the value of a dependent variable when the given values of independent variables are beyond the range covered by historical data. The second type considers forecasting in which the necessary values of independent variables are desired when the given value of a dependent variable does not fall within the range of historical data. While the first type can be applied in planning, the second one is useful for control and management. Numerical examples are provided for illustration.
關鍵字 Fuzzy linear regression;forecasting;extrapolation;independent variable;dependent variable
語言 en
ISSN 0219-6220; 1793-6845
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Tsaur, Ruey-chyn
審稿制度
國別 SGP
公開徵稿
出版型式 紙本
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