English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 93861/124308 (76%)
Visitors : 28930390      Online Users : 510
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 應用數學系 > 會議論文 >  Item 140.119/120064
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/120064

    Title: On multivariate fuzzy time series analysis and forecasting
    Authors: 吳柏林
    Wu, Berlin
    Hsu, Yu-Yun
    Contributors: 應數系
    Date: 2002
    Issue Date: 2018-09-11 18:03:57 (UTC+8)
    Abstract: In this paper, we propose an integrated procedure for multivariate fuzzy time series modeling and its theory structure through fuzzy relation equations in this research. Combining the data of closing price and trading volume, we apply this method to construct multivariate fuzzy time series model for Taiwan Weighted Stock Index and forecast future trend while comparing the forecasting performance by average forecasting accuracy. We strongly believe that this model will be profound of meaning in forecasting future trend of financial market.
    Relation: Soft methods in probability, statistics and data analysis (Warsaw, 2002) (20020101), 363-372
    Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 16)
    Data Type: conference
    DOI 連結: https://doi.org/10.1007/978-3-540-44465-7_9
    DOI: 10.1007/978-3-540-44465-7_9
    Appears in Collections:[應用數學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    10.1007_978-3-7908-1773-7.pdf31339KbAdobe PDF130View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback