[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy numbers by means of "α-cut". This value obtained from our formula tells us not only the strength of relationship between the fuzzy numbers, but also whether the fuzzy numbers are positively or negatively related. This approach looks better than previous methods which only evaluate the strength of the relation. Furthermore, we extend the "α-cut" method to interval-valued fuzzy numbers. The value of the correlation coefficient between interval-valued fuzzy numbers lies in the interval [-1, 1], as computed from our formula.[[notice]]補正完畢[[journaltype]]國
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
This paper considers the degenerate cases of the correlation and information energy in the interval-...
The need for a measure of correlation between two membership functions is stated. The properties tha...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
[[abstract]]When we deal with crisp data, it is very common to find the correlation between variable...
Copyright 2012 c ⃝ Rahim Saneifard and Rasoul Saneifard. This is an open access article distributed ...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of intuition...
While dealing with the non-fuzzy data, finding statistical parameters like mean, variance, standard ...
In the present paper, the researchers discuss the problem of parametric interval approximation of fu...
Aladag, Cagdas Hakan/0000-0002-3953-7601; Egrioglu, Erol/0000-0003-4301-4149WOS: 000312412800003Fuzz...
Department of Industrial and Systems Engineering2016-2017 > Academic research: refereed > Refereed c...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
In many situations, we are interested in finding the correlation ρ between different quantities x an...
The need for a measure of correlation between two membership functions is stated. The properties tha...
In this chapter, we will deal with fuzzy correlation and fuzzy non-linear regression analyses. Both ...
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
This paper considers the degenerate cases of the correlation and information energy in the interval-...
The need for a measure of correlation between two membership functions is stated. The properties tha...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
[[abstract]]When we deal with crisp data, it is very common to find the correlation between variable...
Copyright 2012 c ⃝ Rahim Saneifard and Rasoul Saneifard. This is an open access article distributed ...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of intuition...
While dealing with the non-fuzzy data, finding statistical parameters like mean, variance, standard ...
In the present paper, the researchers discuss the problem of parametric interval approximation of fu...
Aladag, Cagdas Hakan/0000-0002-3953-7601; Egrioglu, Erol/0000-0003-4301-4149WOS: 000312412800003Fuzz...
Department of Industrial and Systems Engineering2016-2017 > Academic research: refereed > Refereed c...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
In many situations, we are interested in finding the correlation ρ between different quantities x an...
The need for a measure of correlation between two membership functions is stated. The properties tha...
In this chapter, we will deal with fuzzy correlation and fuzzy non-linear regression analyses. Both ...
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
This paper considers the degenerate cases of the correlation and information energy in the interval-...
The need for a measure of correlation between two membership functions is stated. The properties tha...