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研究生: 林雅慧
Lin, Ya-Hui
論文名稱: 模糊統計分類及其在茶葉品質評定的應用
Analysis fuzzy statistical cluster and its application in tea quality
指導教授: 吳柏林
Wu, Berlin
謝邦昌
Shia, Ben-Chang
學位類別: 碩士
Master
系所名稱: 商學院 - 統計學系
Department of Statistics
論文出版年: 1996
畢業學年度: 84
語文別: 中文
論文頁數: 58
中文關鍵詞: 群落分析隸屬度函數模糊評鑑表模糊權重加權模糊分類法
外文關鍵詞: Cluster analysis, Membership function, Fuzzy judgement table, Fuzzy weight, Weighted fuzzy clustering method
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  • 模糊理論開始於 1960 年代中期,關於這方面的研究與發展均已獲得相當不錯的成果.其中尤以在群落分析應用上的專題研究更是廣泛.Bezdek 提出的模糊分類演算法,乃根據 Dunn 的C平均法所作的一改良方法.但仍有其缺點,例如,未考慮權重且以靜態資料為主. 有鑑於此,本研究對 Bezdek 之方法加以改進推廣,提出加權模糊分類法.對於評價因素為多變量時,應加入模糊權重的考量.此外更結合時間因素,使準則函數成為動態的模式,將傳統的模糊分類法由靜態資料轉為動態資料形式,以反映真實

    的情況.


    Research on the theory of fuzzy sets has been growing steadily since itsinception during the mid-1960s. The literature especially dealing with fuzzycluster analysis is quite extensive. But the research on FCM still has somedisadvantages. For instance, the

    壹、前言..........1
    貳、模糊測度(fuzzy measure)與分類方法..........3
    2.1傳統分類法..........3
    2.2模糊分類法..........5
    2.3類神經網路分類法..........7
    參、模糊判定程序..........9
    3.1模糊權重分析..........9
    3.2加權模糊分類..........15
    3.3模糊統計分類的評定..........20
    3.4綜合比較..........22
    肆、模擬與實證分析..........23
    4.1模擬結果與分析..........23
    4.2實證分析-以茶葉資料為例..........28
    伍、結論..........34
    參考文獻..........35
    附表..........39

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