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研究生:王保丹
研究生(外文):Wang Pao-Tan
論文名稱:模糊可靠度分析
論文名稱(外文):Fuzzy Reliability Analysis
指導教授:楊敏生楊敏生引用關係
指導教授(外文):Miin-Shen Yang
學位類別:碩士
校院名稱:中原大學
系所名稱:數學系
學門:數學及統計學門
學類:數學學類
論文種類:學術論文
論文出版年:2000
畢業學年度:88
語文別:中文
論文頁數:73
中文關鍵詞:三角模糊數可能性二元模糊狀態多元模糊狀態連續模糊狀態
外文關鍵詞:Triangular Fuzzy NumberPossibilityBinary Fuzzy StateMulti Fuzzy Statecontinuum Fuzzy State
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  • 被引用被引用:1
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在可靠度理論中,先前多數學者討論的皆是系統和它的成分的狀態為非模糊(參見【1,2,7,9】)。因為Zadeh在1965年提出模糊集的想法,因此,在模糊環境下可靠度理論也已經被廣泛地研究(參見【5,6,8,10】)。
在本文中我們根據具有三角模糊數的Zadeh擴展原理將探索模糊狀態結構函數和它的可能性可靠度。首先我們回顧共生系統和它的可靠度函數的定義和性質。接著我們提出具有三角模糊數的共生系統和它們的串並聯模糊可靠度系統。最後我們給具有模糊狀態可能性可靠度函數的一些定義和性質。此外,我們也建立了串並聯模糊系統的可能性可靠度函數及其特性。

In the reliability theory, studies always focus on the states of system and its components under nonfuzzy(crisp) situation (see [1, 2, 7, 9]). Since Zadeh proposed the idea of fuzzy sets in 1965, the reliability theory in fuzzy environment has been studied (see [5, 6, 8, 10]).
In this thesis we explore fuzzy-state structure functions and its possibility reliability by the Zadeh`s extension principle with triangular fuzzy numbers. First we review definitions and properties of coherent systems and its reliability functions. Then we propose coherent systems with triangular fuzzy numbers and their series and parallel fuzzy reliability systems. Finally we give some definitions and properties of possibility reliability functions with fuzzy states. Furthermore, we have possibility reliability function of series and parallel fuzzy systems.

1.緒論………………………...……………..…………….……1
2.回顧共生系統和它的可靠度函數…..……..…………………3
.2.1.二元系統…….………………………….....……………….3.
.2.2.多狀態系統……..……………………….....………………4
.2.3.連續狀態系統…………………………….....……………..6
3.具有三角模糊數的結構函數………………..……...……….8
.3.1.二元模糊狀態..………………………….....………………8
.3.2.多元模糊狀態…..………………………...…..…………..9
.3.3.連續模糊狀態………..………………….....….………….11
4.在模糊狀態結構上的可能性理論……….....….…………..14
.4.1.在二元模糊狀態上的可能性….……….....…..………….15
.4.2.在多元模糊狀態上的可能性...……….....…….…………16
.4.3.在連續模糊狀態上的可能性…………….......……………17
5.結論……..…………………………………..……...……….20

[1]R. E. Barlow and F. Proschan, Statistical Theory of Reliability, Holt, Rinehart and Winston; New York, 1975.
[2]L. A. Baxter, Continuum structures I, J. Appl. Prob. 21, 802-815, 1986.
[3]Kai-Yuan Cai, Chuan-Yuan Wen and Ming-Lian Zhang, Fuzzy states as a basis for a theory of fuzzy reliability, Microelectron. Reliab., Vol. 33, No. 15, 2253-2263, 1993.
[4]B. Cappelle and E. E. Kerre, On a possibilistic approach to reliability theory, Proc. IEEE Conf., 415-418, 1993.
[5]V. Cutello and J. Montero, Reliability structure functions based upon fuzzy numbers, Proc. IEEE Conf. on Fuzzy Systems, Orlando, 1137-1139, 1994.
[6]V. Cutello, J. Montero and J. Yanez, Structure functions with fuzzy states, Fuzzy Sets and Systems 83, 189-202, 1996.
[7]E. El-Neweihi, F. Proschan and J. Sethuraman, Multistate coherent systems, J. Appl. Prob. 15, 675-688, 1978.
[8]O. Kaleva, Fuzzy performance of a coherent system, J. Math. Anal. Appl. 117, 234-246, 1986.
[9]L. M. Leemis, Reliability: probabilistic models and statistical methods. Prentice-Hall, 1995.
[10]Y. Liu, Z. Qiao and G. Wang, Fuzzy random reliability of structures based on fuzzy random variables, Fuzzy Sets and Systems 86, 345-355,1997.
[11]R. Mesiar, Possibility measures, integration and fuzzy possibility measures, Fuzzy Sets and Systems 92, 191-196, 1997.
[12]L.A.Zadeh, Probability measures of fuzzy events, J. Math. Anal. Appl. 23, 421-427, 1968.
[13]L. A. Zadeh, Fuzzy sets, Inform. and control. 8, 338-353, 1965.

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