期刊論文
| 學年 | 102 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2013-10-01 |
| 作品名稱 | Epidemic forecasting with a new fuzzy regression equation |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Wen-Yeh; Tsaur, Ruey-Chyn |
| 單位 | 淡江大學管理科學學系 |
| 出版者 | Dordrecht: Springer Netherlands |
| 著錄名稱、卷期、頁數 | Quality & Quantity 47(6), pp.3411-3422 |
| 摘要 | The traditional fuzzy regression model involves two solving processes. First, the extension principle is used to derive the membership function of extrapolated values, and then, attempts are made to include every collected value with a membership degree of at least h in the fuzzy regression interval. However, the membership function of extrapolated values is sometimes highly complex, and it is difficult to determine the h value, i.e., the degree of fit between the input values and the extrapolative fuzzy output values, when the information obtained from the collected data is insufficient. To solve this problem, we proposed a simplified fuzzy regression equation based on Carlsson and Fullér’s possibilistic mean and variance method and used it for modeling the constraints and objective function of a fuzzy regression model without determining the membership function of extrapolative values and the value of h. Finally, we demonstrated the application of our model in forecasting pneumonia mortality. Thus, we verified the effectiveness of the proposed model and confirmed the potential benefits of our approach, in which the forecasting error is very small. |
| 關鍵字 | Fuzzy regression model; Possibilistic mean; Possibilistic variance; Pneumonia mortality Epidemic forecasting |
| 語言 | en |
| ISSN | 0033-5177 1573-7845 |
| 期刊性質 | 國外 |
| 收錄於 | SSCI |
| 產學合作 | |
| 通訊作者 | Tsaur, Ruey-Chyn |
| 審稿制度 | 是 |
| 國別 | NLD |
| 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/987654321/92451 ) |