English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110936/141856 (78%)
Visitors : 47715602      Online Users : 1109
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 > 學位論文 >  Item 140.119/52770
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/52770


    Title: 模 糊 無 母 數 統 計 檢 定 及 其在 高 齡 化 社 會 調 查 之 應 用
    The Fuzzy nonparametric statistical test and its application on the survey of an aging society
    Authors: 趙淑倫
    Contributors: 吳柏林
    Wu, Berlin
    趙淑倫
    Keywords: 反模糊化轉換
    模糊統計分析
    中位數檢定
    變異數檢定
    高齡化社會
    counter-fuzzy transformation
    fuzzy statistical analysis
    median test
    variance test
    aging society
    Date: 2011
    Issue Date: 2012-04-17 09:16:02 (UTC+8)
    Abstract: 在逐漸高齡化的社會中,關注老人的生活議題並加以分析益顯重要。在研究老人問題時,由於研究對象均曾經歷不同的時空背景與人生閱歷,各個體間存在的差異極大;不同族群的老人對其所慣用語彙的理解與表達亦不盡相同。故若利用傳統的統計分析研究結果,強迫人們採用二元邏輯的方式思考與解釋,可能會導致偏差或錯誤的結論。且傳統的統計檢定方法,往往假定取樣的樣本滿足某個分配,因而導致過多的解釋,影響決策品質。
    因此,為避免因誤解老人而造成虛耗社會成本,使有限的社會資源得以充分運用,本文於研究老人身心特質與個人期待時,嘗試以模糊理論的軟計算,提出反模糊化轉換。並應用中位數檢定及變異數檢定,建立當統計參數為模糊數或模糊區間時之小樣本無母數模糊統計檢定方法模型。由實證例子分析結果顯示,我們提出的檢定方法,能有效分析模糊樣本的問題,並進而期望能對老人議題的分析和決策有所貢獻,及將此方法運用於其它模糊性議題之研究。
    In a gradually aging society, it is important to pay attention to and then analyze elderly people’s life issues. When a study about elderly people is undertaken, the subjects are very inconsistent given their diverse life experience, and various subgroups of subjects have quite different understanding of and way of expressing a vocabulary. Therefore, analyzing study result with conventional statistical analysis method, which forces thinking in a binary logic way, may lead to biased or erroneous conclusion. Furthermore, a conventional statistical test, usually assuming a certain distribution for its samples, may lead to exaggerated explanation, which is detrimental to the quality of a decision.
    So, in order to avoid the waste of our social cost from misunderstanding of the elderly, and to make the most use of our limited social resource, when we investigated the elderly people’s personal characteristics and expectations, we tried to apply the soft calculation of the fuzzy theory, proposed the counter-fuzzy transformation, and, by using the median test and variance test, established a nonparametric fuzzy statistical model for small-sized samples and for parameters of the fuzzy number or fuzzy interval types. The analyses of real-world examples demonstrated that this method of statistical test can analyze the problems of fuzzy samples, and can hopefully contribute to improved analysis and decision making of the elderly people’s issues, and apply this method on the investigation of other fuzzy social issues.

    Key words: counter-fuzzy transformation, fuzzy statistical analysis, median test, variance test, aging society.
    Reference: 1. 吳柏林(2005)。模糊統計導論方法與應用, 頁159-173。台北:五南書局。
    2. 阮亨中、吳柏林(2000)。模糊數學與統計應用,頁233-250; 頁319-341。台北:俊傑書局。
    3. 吳柏林(1999)。現代統計學,頁252-255。台北:五南書局。
    4. 顏月珠(1992)。無母數統計方法,頁180-183。台北 : 三民書局。
    5. 王文俊(2007)。認識 Fuzzy,頁22-29。台北:全華書局。
    6. 劉應明、任平(1994)。模糊數學,頁33-34;頁66-67。台北 : 凡異書局。
    7. Larson, R., Hostetler, R. and Edwards B. H. (2008). Essential Calculus: Early Transcendental Functions. Houghton Mifflin Company, Boston, New York.
    8. Nguyen, H.T. and Wu, B. (2006) Fundamentals of Statistics with Fuzzy Data.
    9. Chen S.Y. (2006) “Nonparametric test with fuzzy data,” NCCU. Master Thesis.
    Description: 碩士
    國立政治大學
    應用數學系數學教學碩士在職專班
    98972003
    100
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0098972003
    Data Type: thesis
    Appears in Collections:[應用數學系] 學位論文

    Files in This Item:

    File SizeFormat
    200301.pdf2323KbAdobe PDF21093View/Open


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


    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 ©   - Feedback