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    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

    題名: The adaptive fuzzy time series model with an application to Taiwan's tourism demand
    作者: Tsaur, Ruey-chyn;Kuo, Ting-chun
    貢獻者: 淡江大學管理科學學系
    關鍵詞: Adaptive fuzzy time series model;Forecasting;Fuzzy logic group;Tourism demand
    日期: 2011-08
    上傳時間: 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
    顯示於類別:[管理科學學系暨研究所] 期刊論文


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