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政大典藏 > College of Science > Department of Mathematical Sciences > Periodical Articles > Item 140.119/61556

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61556

Title:	A new approach on Correlation Evaluation with Fuzzy Data and its Applications in Econometrics
Authors:	吳柏林 Wu,Berlin Yang,Chih Ching
Contributors:	應數系
Keywords:	Evaluation;Fuzzy data;Psychometrics
Date:	2012.06
Issue Date:	2013-11-11 09:38:48 (UTC+8)
Abstract:	How to evaluate an appropriate correlation with fuzzy data is an important topic in the economics especially when the data illustrate uncertain, inconsistent and incomplete type. Traditionally, we use Pearson`s Correlation Coefficient to measure the correlation between data with real value. However, when the data are composed of fuzzy numbers, it is not feasible to use such a traditional approach to determine the fuzzy correlation coefficient. This study proposes the calculation of fuzzy correlation with of fuzzy data: Interval, triangular and trapezoidal. Empirical studies are used to illustrate the application for evaluating fuzzy correlations. More related practical phenomena can be explained by this appropriate definition of fuzzy correlation.
Relation:	International Journal of Intelligent Technologies and Applied Statistics, 5(2), 109-120
Data Type:	article
Appears in Collections:	[Department of Mathematical Sciences] Periodical Articles

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