政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/116567

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109951/140892 (78%)
Visitors : 46222040 Online Users : 496

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

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Science > Department of Mathematical Sciences > Books & Chapters in Books > Item 140.119/116567

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/116567

Title:	Kolmogorov-Smirnov Two Sample Test with Continuous Fuzzy Data
Authors:	吳柏林 Lin, Pei-Chun Wu, Berlin Watada, Junzo
Contributors:	應數系
Keywords:	Weight Function; Fuzzy Numbe; Appendix Table ;Triangular Fuzzy Number ;Empirical Distribution Function
Date:	2010
Issue Date:	2018-03-27 15:57:10 (UTC+8)
Abstract:	The Kolmogorov-Smirnov two-sample test (K-S two sample test) is a goodness-of-fit test which is used to determine whether two underlying one-dimensional probability distributions differ. In order to find the statistic pivot of a K-S two-sample test, we calculate the cumulative function by means of empirical distribution function. When we deal with fuzzy data, it is essential to know how to find the empirical distribution function for continuous fuzzy data. In our paper, we define a new function, the weight function that can be used to deal with continuous fuzzy data. Moreover we can divide samples into different classes. The cumulative function can be calculated with those divided data. The paper explains that the K-S two sample test for continuous fuzzy data can make it possible to judge whether two independent samples of continuous fuzzy data come from the same population. The results show that it is realistic and reasonable in social science research to use the K-S two-sample test for continuous fuzzy data.
Relation:	Advances in Soft Computing, Springer Verlag, pp.175-186 Integrated Uncertainty Management and Applications pp 175-186
Data Type:	book/chapter
DOI link:	https://doi.org/10.1007/978-3-642-11960-6_17
DOI:	10.1007/978-3-642-11960-6_17
Appears in Collections:	[Department of Mathematical Sciences] Books & Chapters in Books

Files in This Item:

File	Description	Size	Format
10.1007_978-3-642-11960-6_17.pdf		214Kb	Adobe PDF2	418	View/Open

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.

Loading...