The adaptive fuzzy time series model with an application to Taiwan's tourism demand

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/77286

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/77286

题名:	The adaptive fuzzy time series model with an application to Taiwan's tourism demand
作者:	Tsaur, Ruey-chyn;Kuo, Ting-chun
贡献者:	淡江大學管理科學學系
关键词:	Adaptive fuzzy time series model;Forecasting;Fuzzy logic group;Tourism demand
日期:	2011-08
上传时间:	2012-06-14 10:32:58 (UTC+8)
出版者:	Kidlington: Pergamon
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.
關聯:	Expert Systems with Applications 38(8), pp.9164-9171
DOI:	10.1016/j.eswa.2011.01.059
显示于类别:	[管理科學學系暨研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	29	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章