Add to ORKGThe need for a measure of correlation between two membership functions is stated. The properties that the correlation measure may possess are examined. A measure of correlation is defined on the basis of those properties. The definition is extended to the cases when (a) the domain is finite and (b) the domain is a subset of R ". The problems encountered while extending the definition are also discussed
While dealing with the non-fuzzy data, finding statistical parameters like mean, variance, standard ...
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
A binary relation language is an important tool of the theory of measurements (see, for example, boo...
The need for a measure of correlation between two membership functions is stated. The properties tha...
[[abstract]]When we deal with crisp data, it is very common to find the correlation between variable...
Abstract:- In fuzzy data analysis, a simple correlation coefficient provides us with a good sense of...
Copyright 2012 c ⃝ Rahim Saneifard and Rasoul Saneifard. This is an open access article distributed ...
In this paper, the Correlation measure of Intuitionistic Fuzzy Multi sets (IFMS) is proposed. The co...
The previous correlation measures for hesitant fuzzy sets proposed in the literature only capture th...
Comparison measures to assess similarity, inclusion, and overlap of fuzzy sets are well known and wi...
[[abstract]]For many fuzzy data mining tasks, the information about the relationships between fuzzy ...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
While dealing with the non-fuzzy data, finding statistical parameters like mean, variance, standard ...
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
A binary relation language is an important tool of the theory of measurements (see, for example, boo...
The need for a measure of correlation between two membership functions is stated. The properties tha...
[[abstract]]When we deal with crisp data, it is very common to find the correlation between variable...
Abstract:- In fuzzy data analysis, a simple correlation coefficient provides us with a good sense of...
Copyright 2012 c ⃝ Rahim Saneifard and Rasoul Saneifard. This is an open access article distributed ...
In this paper, the Correlation measure of Intuitionistic Fuzzy Multi sets (IFMS) is proposed. The co...
The previous correlation measures for hesitant fuzzy sets proposed in the literature only capture th...
Comparison measures to assess similarity, inclusion, and overlap of fuzzy sets are well known and wi...
[[abstract]]For many fuzzy data mining tasks, the information about the relationships between fuzzy ...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
[[abstract]]In this paper, we propose a method to calculate the correlation coefficient of fuzzy num...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
While dealing with the non-fuzzy data, finding statistical parameters like mean, variance, standard ...
The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs),...
A binary relation language is an important tool of the theory of measurements (see, for example, boo...