政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/49452

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/49452

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109949/140898 (78%)
Visitors : 46068535 Online Users : 1102

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Scope

please add "double quotation mark" for query phrases to get precise results

please goto advance search for comprehansive author search

Adv. Search

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

Goto mobile version

政大典藏 > College of Science > Department of Mathematical Sciences > Theses > Item 140.119/49452

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/49452

Title:	模糊卡方適合度檢定 Fuzzy Chi-square Test Statistic for goodness-of-fit
Authors:	林佩君 Lin,Pei Chun
Contributors:	吳柏林 wu,Berlin 林佩君 Lin,Pei Chun
Keywords:	模糊思維模糊邏輯模糊集合理論隸屬度函數樣本調查卡方適合度檢定 fuzzy thinking fuzzy logic fuzzy set theory membership functions sampling survey chi-square test statistic for goodness-of-fit
Date:	2006
Issue Date:	2010-12-08 11:45:09 (UTC+8)
Abstract:	在資料分析上，調查者通常需要決定，不同的樣本是否可被視為來自相同的母體。一般最常使用的統計量為Pearson’s 統計量。然而，傳統的統計方法皆是利用二元邏輯觀念來呈現。如果我們想要用模糊邏輯的概念來做樣本調查，此時，使用傳統檢定來分析這些模糊樣本資料是否仍然適當？透過這樣的觀念，我們使用傳統統計方法，找出一個能處理這些模糊樣本資料的公式，稱之為模糊。結果顯示，此公式可用來檢定，模糊樣本資料在不同母體下機率的一致性。 In the analysis of research data, the investigator often needs to decide whether several independent samples may be regarded as having come from the same population. The most commonly used statistic is Pearson’s statistic. However, traditional statistics reflect the result from a two-valued logic concept. If we want to survey sampling with fuzzy logic concept, is it still appropriate to use the traditional -test for analysing those fuzzy sample data? Through this concept, we try to use a traditional statistic method to find out a formula, called fuzzy , that enables us to deal with those fuzzy sample data. The result shows that we can use the formula to test hypotheses about probabilities of various outcomes in fuzzy sample data.
Reference:	[1] Arnold, Steven F. (1990). Mathematical statistics. Prentice-Hall, Englewood Cliffs, NJ. [2] Hilton, James G. (1971). Probability and statistical analysis. Intext Educational Publishers, London. [3] Hogg, Robert V. and Elliot A. Tanis, (1977). Probability and Statistical inference. Prentice-Hall, Upper Saddle River, NJ. [4] H. Kwakernaak, Fuzzy random variables - I. Definitions and Theorems, Information Sciences, 15, (1978), 1-29, Fuzzy random variables – II. Algorithms and Examples for the Discrete Case, Information Sciences, 17, (1979), 253-278. [5] Johnson, Richard A. and Gourik.Bhattacharyya, (1992). Statistics: Principles and Methods. (2nd ed.). Wiley, New York. [6] Liu Yubin, Qiao Zhong and Wang Guangyuan, Fuzzy random reliability of structures based on fuzzy random variables, Fuzzy Sets and Systems, 86, (1997), 345-355. [7] M.L. Puri and D. Ralescu, Fuzzy random variables, Journal of Mathematical Analysis and Applications,114, (1986), 409-422. [8] Nguyen, H and Wu, B. (2006). Fundamentals of Statistics with Fuzzy Data. Springer, Netherlands. [9] Pearson, K., (1900). “On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling.” Philosophy Magazine Series 5, 50, 157-172. [10] Wu, B. and Chang, S. K. (2007), “On testing hypothesis of fuzzy mean”, Japan Journal of Industrial and Applied Mathematics. (will appear) [11] Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8,338-353. [12] Zimmermann, H. J. (1996). Fuzzy set theorem and its applications. Kluwer Academic, Boston.
Description:	碩士國立政治大學應用數學研究所 94751015 95
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0094751015
Data Type:	thesis
Appears in Collections:	[Department of Mathematical Sciences] Theses

Files in This Item:

File	Description	Size	Format
101501.pdf		46Kb	Adobe PDF2	620	View/Open
101502.pdf		80Kb	Adobe PDF2	728	View/Open
101503.pdf		21Kb	Adobe PDF2	594	View/Open
101504.pdf		12Kb	Adobe PDF2	515	View/Open
101505.pdf		28Kb	Adobe PDF2	612	View/Open
101506.pdf		59Kb	Adobe PDF2	1377	View/Open
101507.pdf		158Kb	Adobe PDF2	1076	View/Open
101508.pdf		26Kb	Adobe PDF2	653	View/Open
101509.pdf		22Kb	Adobe PDF2	629	View/Open
101510.pdf		14Kb	Adobe PDF2	660	View/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