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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/77281 ) |