政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/18735
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 112721/143689 (78%)
造访人次 : 49515884      在线人数 : 750
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/18735


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/18735


    题名: 模糊統計分類在臺灣地區失業率分析與預測之應用
    其它题名: Fuzzy Statistical Cluster Analysis and Its Application to Taiwan`s Unemployment
    作者: 吳柏林
    Wu, Berlin
    許毓云
    Hsu, Yi-yun
    贡献者: 應數系
    关键词: 失業率;模糊時間數列;模糊分類法
    Unemployment;Fuzzy time series;Fuzzy classification
    日期: 1999-03
    上传时间: 2008-12-24 13:32:15 (UTC+8)
    摘要: 失業率是各國經濟發展所應重視的指標之一。過高的失業率會影響整個就業市場 及社會秩序。近年來，由於台灣工資高漲，加上大量引進外勞而導致失業率升高，已造成社 會的嚴重問題。此一問題若未獲得改善，不僅形成人力資源的閒置，且將造成嚴重的社會失 調。 本文即以失業率代表勞動市場供需變數之指標，嘗試以模糊時間數列分類與辨識的方 法，應用平均累加模糊熵〈average of the sum of fuzzy entropies〉，來認定台灣地區失 業率走勢與結構改變。由實證結果發現，應用模糊統計分析方法比傳統中的測度方法能得到 更合理的解釋，且預測結果可以提供決策者更多的資訊，做出正確的決策。
    The percentage of unemployment is one of the targets that every country emphasizes in the social-economic development. The soaring percentage of lasting unemployment would sure]y influence the wholesome society. Taiwan has been making an amazing progress in economy and thus are ranked as one of the well-developed country. The imblanced development of the economy, however, has caused the problem of the sources of manpower. The increasing rise of unemployment manifests the imblance of the allocation of manpower. This paper uses the percentage of unemployment as the indication of the supply-and-need variable in labor market. Applying the fuzzy time series classification method, we make an analysis of the variations in Taiwan labor market and seek a further solution to lower the percentage of unemployment. Seeing that the factors to evaluate are prone to change, we should take the fuzzy weight into account. Finally, instead of the application of traditional methods of measuring, fuzzy statistical classification is expected to reflect the current circumstances.
    關聯: 中國統計學報,37(1),37-52
    数据类型: article
    显示于类别:[應用數學系] 期刊論文

    文件中的档案:

    档案 大小格式浏览次数
    3752.pdf374KbAdobe PDF2491检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈