Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104542
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Title: A centroid based correlation coefficient of fuzzy numbers
Authors: Ruan, J 
Chan, FTS 
Zhu, F
Shi, Y
Wang, Y
Issue Date: 2017
Source: Proceedings of the 3rd World Congress on Mechanical, Chemical, and Material Engineering (MCM'17): Rome, Italy, June 8-10, 2017, ICMIE 104
Abstract: Classic methods have been well reported to measure the correlation coefficient of crisp observed data. However, the uncertainty in the real world sometimes makes crisp data unavailable, especially for linguistic variables. Under this situation, fuzzy numbers are often involved in the observed data, but classic statistical methods cannot be directly used to calculate the correlation coefficient of fuzzy observed data. Motivated by this observation, we integrate the centroid technique with Pearson's correlation coefficient to propose a simple method for measuring the correlation coefficient of fuzzy data. The centroid based method is applied into the measurement of correlation coefficient between technology and management. The comparison with extant results shows the effectiveness and advantage of our method.
Keywords: Fuzzy observed data
Correlation coefficient
Centroid-based method
Technology and management
Publisher: Avestia Publishing
ISBN: 978-192787732-6
DOI: 10.11159/icmie17.104
Rights: The following publication Ruan, J., Chan, F. T., Zhu, F., Shi, Y., & Wang, Y. (2017, June). A centroid based correlation coefficient of fuzzy numbers. In Proceedings of the 3rd World Congress on Mechanical, Chemical, and Material Engineering (MCM’17), Rome, Italy, ICMIE 104 is available at https://doi.org/10.11159/icmie17.104.
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