DOIAbstract
informational paradigm, fuzzy data, distance measure for fuzzy data, principal component analysis, least squares approach,
informational paradigm, fuzzy data, distance measure for fuzzy data, principal component analysis, least squares approach,
We consider the abstract study of the non convex fuzzy number to some well known functionals. Concr...
10 pagesSince it appeared in Zadeh's (1965) seminal paper, fuzzy subsets theory has been effectively...
Building appriopriate system models is an important aspect in the analysis and design of complex sys...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
Data are frequently not precise numbers but more or less non-precise, also called fuzzy. Before ana...
Fuzzy linear regression model, Crisp variable, D K -distance, Least-squares method, Bootstrap method...
ABSTRACT: The lesson will begin with the basics of fuzzy set theory. Fuzzy set theory was first intr...
This paper shows some distance measures based on memberships and centroids for comparing fuzzy varia...
This paper focuses on creating a component model of information system under uncertainty. The paper ...
AbstractWe describe a new method for the fitting of differentiable fuzzy model functions to crisp da...
In many situations the available amount of data is huge and can be intractable. When the data set is...
Principal Component Analysis (PCA) is a well-known tool often used for the exploratory analysis of a...
Griffith Sciences, School of Information and Communication TechnologyNo Full Tex
This study aims at solving the problems usually created by the heterogeneity, the changing nature an...
Objectives Development of a method for selecting the type of accessory function and obtaining its pa...
We consider the abstract study of the non convex fuzzy number to some well known functionals. Concr...
10 pagesSince it appeared in Zadeh's (1965) seminal paper, fuzzy subsets theory has been effectively...
Building appriopriate system models is an important aspect in the analysis and design of complex sys...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
Data are frequently not precise numbers but more or less non-precise, also called fuzzy. Before ana...
Fuzzy linear regression model, Crisp variable, D K -distance, Least-squares method, Bootstrap method...
ABSTRACT: The lesson will begin with the basics of fuzzy set theory. Fuzzy set theory was first intr...
This paper shows some distance measures based on memberships and centroids for comparing fuzzy varia...
This paper focuses on creating a component model of information system under uncertainty. The paper ...
AbstractWe describe a new method for the fitting of differentiable fuzzy model functions to crisp da...
In many situations the available amount of data is huge and can be intractable. When the data set is...
Principal Component Analysis (PCA) is a well-known tool often used for the exploratory analysis of a...
Griffith Sciences, School of Information and Communication TechnologyNo Full Tex
This study aims at solving the problems usually created by the heterogeneity, the changing nature an...
Objectives Development of a method for selecting the type of accessory function and obtaining its pa...
We consider the abstract study of the non convex fuzzy number to some well known functionals. Concr...
10 pagesSince it appeared in Zadeh's (1965) seminal paper, fuzzy subsets theory has been effectively...
Building appriopriate system models is an important aspect in the analysis and design of complex sys...
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