Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/73870


Title: Correlation Evaluation with Fuzzy Data and its Application in the Management Science
Authors: 吳柏林
Wu, Berlin;Sha, Wei-Shun;Chen, Juei-Chao
Contributors: 應數系
Date: 2015-01
Issue Date: 2015-03-16 15:56:48 (UTC+8)
Abstract: How to evaluate an appropriate correlation with fuzzy data is an important topic in the educational and psychological measurement. Especially when the data illustrate uncertain, inconsistent and incomplete type, fuzzy statistical method has some promising features that help resolving the unclear thinking in human logic and recognition. 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 three types 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: Econometrics of Risk, Springer Verlag, pp.273-285
Data Type: book/chapter
DOI 連結: http://dx.doi.org/10.1007/978-3-319-13449-9_19
Appears in Collections:[應用數學系] 專書/專書篇章

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