教師資料查詢 | 類別: 期刊論文 | 教師: 曹銳勤 RUEY-CHYN TSAUR (瀏覽個人網頁)

標題:Epidemic forecasting with a new fuzzy regression equation
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
語言英文
ISSN0033-5177;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
國別荷蘭
公開徵稿
出版型式,紙本
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