1
PhD student, Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman
2
Associate Professor, Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman
3
Professor, Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman
Abstract
In this article, firstly, the concepts required for fuzzy random variable are stated, and studied the fuzzy random variable and its cumulative distribution function, that these concepts are proposed using α-pessimism. Then all these concepts are expressed for the fuzzy random variable and their cumulative distribution function. Now, because the copula concept and its application are used in the construction of cumulative distribution function, for this purpose, the copula application in the construction of the cumulative distribution function of two fuzzy random variables is presented. Finally, in order to better understand the copula concept, we give an example for it.
Dowlatzadeh, B., Sheikhy, A., Mashinchi, M. & Arabpour, A. (2022). Jointly dependent fuzzy random variables based on α-pessimistic. Andishe_ye Amari, 26(2), 81-87.
MLA
Dowlatzadeh, B., Sheikhy, A., Mashinchi, M., & Arabpour, A. "Jointly dependent fuzzy random variables based on α-pessimistic", Andishe_ye Amari, 26, 2, 2022, 81-87.
HARVARD
Dowlatzadeh B., Sheikhy A., Mashinchi M., Arabpour A. (2022). 'Jointly dependent fuzzy random variables based on α-pessimistic', Andishe_ye Amari, 26(2), pp. 81-87.
CHICAGO
B. Dowlatzadeh, A. Sheikhy, M. Mashinchi & A. Arabpour, "Jointly dependent fuzzy random variables based on α-pessimistic," Andishe_ye Amari, 26 2 (2022): 81-87,
VANCOUVER
Dowlatzadeh B., Sheikhy A., Mashinchi M., Arabpour A. Jointly dependent fuzzy random variables based on α-pessimistic. Andishe_ye Amari. 2022;26(2):81-87 (In Persian).
