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- W2079334083 abstract "Taiwan Futures Exchange (TAIFEX) is the world's 23rd futures exchange to trade SSFs, which is also the 21st financial product offered by the exchange. In this paper, the TAIFEX is predicted based on improving fuzzy time series model. Nature-ratio lengths of intervals technique is employed to partition the universal of discourse of linguistic variable and an improving high-order heuristic function is also used to select the defuzzified value of fuzzified prediction variable to improve prediction accuracy. The experiment result shows that our proposing model has higher prediction accuracy than those of some conventional prediction methods." @default.
- W2079334083 created "2016-06-24" @default.
- W2079334083 creator A5047908747 @default.
- W2079334083 date "2010-08-01" @default.
- W2079334083 modified "2023-09-27" @default.
- W2079334083 title "Application of improving fuzzy time series to predict TAIFEX" @default.
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- W2079334083 doi "https://doi.org/10.1109/iwaci.2010.5585178" @default.
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