跳到主要內容

簡易檢索 / 詳目顯示

研究生: 黃振家
論文名稱: 模糊集合與模糊矩陣及其應用
Fuzzy set theory and fuzzy matrix with its applications
指導教授: 吳柏林
學位類別: 碩士
Master
系所名稱: 理學院 - 應用數學系數學教學碩士在職專班
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 37
中文關鍵詞: 模糊集合隸屬度函數模糊矩陣有向圖
外文關鍵詞: fuzzy set, membership function, fuzzy matrix, directed graph
相關次數: 點閱:196下載:16
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本文以人對事物現象認識的感覺與模糊性作為切入點,闡述模糊性是人對事物認識的一種表徵及反應。然後,引入模糊集合的定義及刻劃模糊集合的表示函數—隸屬度,對模糊集合的各種運算、模糊矩陣、模糊差集以及宇集等內容進行較詳細的討論,並以各種事例說明一些相關概念和運算。
    最後,再深入探討如何以模糊矩陣表示圖學中有向圖的問題。


    This article is to focus on the understanding of human being to the phenomenon of things as well as the fuzziness. Then, by applying the definition of the fuzzy set and explaining the membership of fuzzy set, we are going to have a detailed discussion of the operation of fuzzy set, fuzzy matrix, fuzzy subtraction and universal set. Examples are given to demonstrate some of the related concepts and expression. Next, further questions about how to display directed graph in the graph theory with fuzzy matrix will be discussed .

    1.前言 4
    2. 模糊集合 6
    2.1模糊集合與隸屬度 6
    2.2模糊集合運算 8
    2.3模糊矩陣 11
    3.模糊集合關係矩陣與運算 13
    3.1 二元對比排序法 13
    3.2 模糊資料與軟運算 16
    3.3 模糊關係 19
    4.模糊矩陣的圖學表示與分解定理 23
    4.1有向圖, 通路及其表示 23
    4.2 有向圖的連通性 26
    4.3 有向圖的鄰接矩陣 28
    4.4 模糊矩陣的伴隨圖 29
    4.5 模糊矩陣分解定理 33
    5.結論 36
    參考文獻 37

    [1]吳柏林(2003),現代統計學,五南書局,台北。
    [2]吳柏林(2005),模糊統計導論-方法與應用,五南書局,台北。
    [3]吳柏林(1996),社會科學研究中的模糊邏輯與模糊統計分析,中國統計通訊7(11),14-27。
    [4]吳柏林,楊文山(1997),模糊統計在社會調查分析的應用,社會科學計量方法發展與應用,楊文山主編:中央研究院中山人文社會科學研究所,289-316。
    [5]阮亨中,吳柏林(2000),模糊數學與統計應用,俊傑書局,台北。
    [6]林信成,彭啟峰(1994),Oh!Fuzzy 模糊理論剖析,第三波文化事業股份有限公司。
    [7]Cano, J.C. and Nava, P.A. (2002), A fuzzy method for automatic generation of membership function using fuzzy relations from training examples, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings, pp.158-62.
    [8]Czogala, E., Drewniak, J. and Pedrycz, W. (1982), Fuzzy relation equations on a finite set, Fuzzy Sets and Systems, 7, pp.89–101.
    [9]Fang, S.-C and Li, G. (1999), Solving fuzzy relation equations with a linear objective function, Fuzzy Sets and Systems, 103(1), pp.107-113.
    [10]Hung, T., Ngyyen and Wu, B. (2006), Fundamentals of Statistics with Fuzzy Data, Spring-Verlag.
    [11]Kosko, B. (1993), Fuzzy thinking: the new science of fuzzy logic, Hyperion, New York.
    [12]Luoh, L., Wang, W.J. and Liaw, Y.K. (2003), Matrix-pattern-based computer algorithm for solving fuzzy relation equations, IEEE Transactions on Fuzzy Systems, 11(1), pp.100-108.
    [13]Wu, B. and Sun, C. (1996), Fuzzy statistics and computation on the lexical semantics, Language, Information and Computation (PACLIC 11), 337-346, Seoul, Korea.
    [14]Zadeh, L.A. (1965), Fuzzy Sets, Information and Control, 8, 338-353.
    [15]Zimmermann, H.J. (1991), Fuzzy Set Theory and Its Applications, Boston: Kluwer Academic.

    QR CODE
    :::