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:Tourism demand forecasting using a novel high-precision fuzzy time series model
學年102
學期2
出版(發表)日期2014/04/01
作品名稱Tourism demand forecasting using a novel high-precision fuzzy time series model
作品名稱(其他語言)
著者Tsaur, R.-C.; Kuo, T.-C.
單位淡江大學管理科學學系
出版者Kumamoto: I C I C International
著錄名稱、卷期、頁數International Journal of Innovative Computing, Information and Control 10(2), pp.695-701
摘要Fuzzy time series model has been developed to either improve forecasting accuracy or reduce computation time, whereas a residul analysis in order to improve its forecasting performance is still lack of consideration. In this paper, we propose a novel Fourier method to revise the analysis of residual terms, and then we illustrate it to forecast the Japanese tourists visiting in Taiwan per year. The forecasting results show that our proposed method can derive the best forecasting performance as well as the smallest forecasting error of MAPE in the training sets; in the testing sets, the proposed model is also better to fit the future trend than some forecasting models.
關鍵字Fuzzy time series; Fourier series; Residual analysis; Japanese tourists; Fore- ;
casting performance
語言
ISSN1349-4198
期刊性質
收錄於EI
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式紙本;電子版
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