TY - GEN
T1 - A centroid based correlation coefficient of fuzzy numbers
AU - Ruan, Junhu
AU - Chan, Felix T.S.
AU - Zhu, Fangwei
AU - Shi, Yan
AU - Wang, Yumeng
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Centroid-based method
KW - Correlation coefficient
KW - Fuzzy observed data
KW - Technology and management
UR - http://www.scopus.com/inward/record.url?scp=85045013734&partnerID=8YFLogxK
U2 - 10.11159/icmie17.104
DO - 10.11159/icmie17.104
M3 - Conference article published in proceeding or book
AN - SCOPUS:85045013734
SN - 9781927877326
T3 - Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering
BT - Proceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
PB - Avestia Publishing
T2 - Proceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
Y2 - 8 June 2017 through 10 June 2017
ER -