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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/80598
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/80598


    Title: Model Construction and Residues Analysis with Fuzzy Time Series
    Authors: Wu, Berlin
    吳柏林
    Sun, Baiqing
    Contributors: 應數系
    Keywords: Fuzzy data classification;Average of the sum of fuzzy entropies;Change periods;Unemployment rate;population of singles
    Date: 2013-06
    Issue Date: 2016-01-15 14:22:22 (UTC+8)
    Abstract: The application of data classifications in time series analysis and forecasting is rather important. The fuzzy data classification has received much attention recently. It can be applied on various fields such as finance, sociology, biomedicine, electrical engineering and so on. This study is to use the fuzzy data classification to perform an intensive research on the change periods detection and model construction of the interval time series. We use average of the sum of fuzzy entropies to find out interval of the structural changes. Focusing on the time series ofintervals, we build a model and make prediction about it. At the end, based on the case study on the population of singles versus, we thoroughly discuss this topic. The result shows that the unemployment rate does significantly correlate with the population of singles, but the "widow's year" does not.
    Relation: International Journal of Intelligent Technologies & Applied Statistics, 6(2), 101-119
    Data Type: article
    DOI 連結: http://dx.doi.org/10.6148/IJITAS.2013.0602.01
    DOI: 10.6148/IJITAS.2013.0602.01
    Appears in Collections:[應用數學系] 期刊論文

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