期刊論文
學年 | 100 |
---|---|
學期 | 1 |
出版(發表)日期 | 2011-08-01 |
作品名稱 | The adaptive fuzzy time series model with an application to Taiwan's tourism demand |
作品名稱(其他語言) | |
著者 | Tsaur, Ruey-chyn; Kuo, Ting-chun |
單位 | 淡江大學管理科學學系 |
出版者 | Kidlington: Pergamon |
著錄名稱、卷期、頁數 | Expert Systems with Applications 38(8), pp.9164-9171 |
摘要 | In this study, an adaptivefuzzytimeseriesmodel for forecasting Taiwan’stourismdemand is proposed to further enhance the predicted accuracy. We first transfer fuzzytimeseries data to the fuzzy logic group, assign weights to each period, and then use the proposed adaptivefuzzytimeseriesmodel for forecasting in which an enrollment forecasting values is applied to obtain the smallest forecasting error. Finally, an illustrated example for forecasting Taiwan’stourismdemand is used to verify the effectiveness of proposed model and confirmed the potential benefits of the proposed approach with a very small forecasting error MAPE and RMSE. |
關鍵字 | Adaptive fuzzy time series model;Forecasting;Fuzzy logic group;Tourism demand |
語言 | en |
ISSN | 0957-4174 |
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 | GBR |
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/987654321/77286 ) |