Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/61559


Title: An Innovative Approach on Fuzzy Correlation Coefficient with Interval Data
Authors: 吳柏林
Wu,Berlin
Hsu,Hui-Li
Contributors: 應數系
Keywords: Fuzzy correlation coefficient;Interval data;Fuzzy statistics
Date: 2010.03
Issue Date: 2013-11-11 09:39:24 (UTC+8)
Abstract: We usually use the correlation coefficient to observe the relation of two variables. But if the data are exhibited by a fuzzy type, such as interval data, instead of the real number data, the traditional methods for evaluating correlation coefficients do not work. In this paper, we propose an innovative approach to measure the correlation for variables when the data are in the form of intervals. Such the correlation coefficient interval will be called the fuzzy correlation coefficient. Finally two empirical studies are given to compare the traditional correlation coefficient and the fuzzy correlation coefficient. The results show that the fuzzy correlation coefficient can provides an efficient and creative measurement in the perception measurement.
Relation: International Journal of Innovative Computing, Information and Control, 6(3) , 1049-1058
Data Type: article
Appears in Collections:[應用數學系] 期刊論文

Files in This Item:

File Description SizeFormat
10491058.pdf36KbAdobe PDF1180View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing