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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45502

    Title: Forecasting the leading index using fuzzy linguistic prediction
    Authors: 蔣定安;Chiang, Ding-an;Wang, Yi-fan;Wang, Yi-hsin;Chuang, Yu-liang
    Contributors: 淡江大學資訊工程學系
    Date: 2003-08
    Issue Date: 2010-03-26 19:25:55 (UTC+8)
    Publisher: Wiley-Blackwell
    Abstract: We propose a fuzzy linguistic prediction method for improving fuzzy random prediction. It uses the bit map summary to determine the trend of objects rising or falling and then uses the fuzzy linguistic summary to compute the parameter of fuzzy random prediction. To show how this method works, we use it to predict the present Taiwan leading index, which gives the economic trend for the next 3 months. By further predicting the leading indices of months that follow, we can forecast the economic trend for the next year.
    Relation: International Journal of Intelligent Systems 18(8), pp.893-901
    DOI: 10.1002/int.10123
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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