Please use this identifier to cite or link to this item: https://ah.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:[應用數學系] 期刊論文

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