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    題名: 網路教育問卷調查新技術與線上模糊統計分析建構(2/2)
    其他題名: New Techniques on Educational Sampling Survey and the Construction of Fuzzy Statistical Analysis on Line
    作者: 吳柏林;謝名娟
    貢獻者: 應用數學學系
    關鍵詞: 網路教育問卷調查;模糊統計量;線上模糊統計分析建構
    Educational Sampling Survey on Web;Fuzzy Statistics;On Line Decision Process
    日期: 2012
    上傳時間: 2016-03-23 17:37:35 (UTC+8)
    摘要: 本研究的目的乃藉由The Geometer`s Sketchpad (GSP)軟體的設計，幫助我們處理模糊問卷樣本。另外對於模糊數的無母數檢定我們提供了一個較為一般的方法，可以針對梯型、三角型，區間型的模糊樣本同時進行處理。而利用新設計的模糊問卷，可以較清楚地記錄受訪者的感覺，此外我們所提供之對於模糊數的無母數檢定方法比其他傳統檢定方法限制更少，對田野調查應用範圍更廣。 我們將解決有關：1.當回答樣本非實數值時(例如基於模糊邏輯之區間或多值)的模糊統計量處理2.當所施測的樣本數很大時，如何有效率的在網路上記錄受測者所建構的隸屬度函數？3.建構網上即時模糊統計分析。本研究預期可完成實用之網路教育問卷調查新技術設計工具，線上模糊統計分析操作手冊與模糊統計分析決策說明各一份。使教育研究學者能迅速且精確獲取問卷結果，未來在教育調查研究過程中，更能有效且精確發揮功能。
    The purpose of this paper is to develop a methodology for getting a fuzzy data on the educational sampling survey research by using the software The Geometer`s Sketchpad (GSP). We construct an on line fuzzy testing/decision process (including nonparametric methods) to deal with fuzzy data such as trapezoid, triangular, and interval-valued type. On the other hand, using fuzzy questionnaire designed can help respondents to record their thoughts more precisely. Additionally our method for nonparametric tests with fuzzy data is more powerful than the traditional ones. We will solve: 1. How to process the fuzzy data when the reply is not a real value. 2. How to record the membership function on line, especially when the sample size is large? 3. Construing an on line fuzzy statistical testing and decision system. Finally we are expected to present: a guide of well designed educational fuzzy questionnaires techniques, a guide with collecting fuzzy data and a manual how to process the nonparametric testing and decision on line system. The purpose of this paper is to develop a methodology for getting a fuzzy data on the educational sampling survey research by using the software The Geometer`s Sketchpad (GSP). We construct an on line fuzzy testing/decision process (including nonparametric methods) to deal with fuzzy data such as trapezoid, triangular, and interval-valued type. On the other hand, using fuzzy questionnaire designed can help respondents to record their thoughts more precisely. Additionally our method for nonparametric tests with fuzzy data is more powerful than the traditional ones. We will solve: 1. How to process the fuzzy data when the reply is not a real value. 2. How to record the membership function on line, especially when the sample size is large? 3. Construing an on line fuzzy statistical testing and decision system. Finally we are expected to present: a guide of well designed educational fuzzy questionnaires techniques, a guide with collecting fuzzy data and a manual how to process the nonparametric testing and decision on line system.
    關聯: 計畫編號 NAER-100-24-B-2-01-00-2-01
    資料類型: report
    顯示於類別:[應用數學系] 國科會研究計畫

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