Using a set of confidence intervals, we develop a common approach, to construct a fuzzy set as an estimator for unknown parameters in statistical models. We investigate a method to derive the explicit and unique membership function of such fuzzy estimators. The proposed method has been used to derive the fuzzy estimators of the parameters of a Normal distribution and some functions of parameters of two Normal distributions, as well as the parameters of the Exponential and Poisson distributions
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
The current research is devoted to developing methods of a novel mathematical interpretation of term...
Abstract—In this paper, we present a new method of interval fuzzy model identification. The method c...
[[abstract]]The concept for fuzzy estimators of fuzzy parameters in fuzzy random variables is propos...
22 pages, accepté Reliable ComputingA number of techniques have been introduced to construct fuzzy m...
In this paper a simple procedure of estimation of parameters of two widely used failure distribution...
summary:Recently, the parameter estimations for normal fuzzy variables in the Nahmias' sense was stu...
We study interval estimation for parameters of discrete distributions, focusing on thebinomial, Poi...
[[abstract]]The method for obtaining the fuzzy estimates of regression parameters with the help of &...
Confidence intervals for the parameters of a linear regression model with a fuzzy response variable ...
The objective of this work is to describe a numerical technique to identify parameters of a fuzzy mo...
International audienceThis study deals with the derivation of a probabilistic parametric model from ...
In traditional statistical analysis, if we know that the distribution is normal, then the most popul...
Athenes, May 12-16Usually, fuzzy systems approximate functions by covering their graphs with fuzzy p...
Traditional Statistical analysis of lognormal distribution have been proposed for precisely defined ...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
The current research is devoted to developing methods of a novel mathematical interpretation of term...
Abstract—In this paper, we present a new method of interval fuzzy model identification. The method c...
[[abstract]]The concept for fuzzy estimators of fuzzy parameters in fuzzy random variables is propos...
22 pages, accepté Reliable ComputingA number of techniques have been introduced to construct fuzzy m...
In this paper a simple procedure of estimation of parameters of two widely used failure distribution...
summary:Recently, the parameter estimations for normal fuzzy variables in the Nahmias' sense was stu...
We study interval estimation for parameters of discrete distributions, focusing on thebinomial, Poi...
[[abstract]]The method for obtaining the fuzzy estimates of regression parameters with the help of &...
Confidence intervals for the parameters of a linear regression model with a fuzzy response variable ...
The objective of this work is to describe a numerical technique to identify parameters of a fuzzy mo...
International audienceThis study deals with the derivation of a probabilistic parametric model from ...
In traditional statistical analysis, if we know that the distribution is normal, then the most popul...
Athenes, May 12-16Usually, fuzzy systems approximate functions by covering their graphs with fuzzy p...
Traditional Statistical analysis of lognormal distribution have been proposed for precisely defined ...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
The current research is devoted to developing methods of a novel mathematical interpretation of term...
Abstract—In this paper, we present a new method of interval fuzzy model identification. The method c...