Fuzzy linear regression model, Crisp variable, D K -distance, Least-squares method, Bootstrap method, Cook’s distance,
There is uncertainty that the crisp function in classic regression analysis presents the relationshi...
The economic and social research is often based on assumptions that have little to do with reality, ...
informational paradigm, fuzzy data, distance measure for fuzzy data, principal component analysis, l...
In fuzzy domain, a variable (vague linguistic term) often depends not only on a single variable but ...
In order to estimate fuzzy regression models, possibilistic and least-squares procedures can be cons...
This paper deals with fuzzy regression analysis in presence of multivariate symmetric fuzzy response...
In this chapter, we will deal with fuzzy correlation and fuzzy non-linear regression analyses. Both ...
Abstract Fuzzy linear regression has been discussed for many years, and it is applied in every scien...
The regression analysis is a common tool in data analysis, while fuzzy regression can be used to ana...
The regression analysis is a common tool in data analysis, while fuzzy regression can be used to ana...
Abstract. Regression is one of the important factors of statistical analysis. But the applications o...
© 2020 KIIE As a widely used method, regression analysis plays an increasingly important role in cre...
This paper deals with a new approach to fuzzy linear regression analysis. A doubly linear adaptive f...
Fuzzy regression models are useful for investigating the relationship between explanatory variables...
We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy rela...
There is uncertainty that the crisp function in classic regression analysis presents the relationshi...
The economic and social research is often based on assumptions that have little to do with reality, ...
informational paradigm, fuzzy data, distance measure for fuzzy data, principal component analysis, l...
In fuzzy domain, a variable (vague linguistic term) often depends not only on a single variable but ...
In order to estimate fuzzy regression models, possibilistic and least-squares procedures can be cons...
This paper deals with fuzzy regression analysis in presence of multivariate symmetric fuzzy response...
In this chapter, we will deal with fuzzy correlation and fuzzy non-linear regression analyses. Both ...
Abstract Fuzzy linear regression has been discussed for many years, and it is applied in every scien...
The regression analysis is a common tool in data analysis, while fuzzy regression can be used to ana...
The regression analysis is a common tool in data analysis, while fuzzy regression can be used to ana...
Abstract. Regression is one of the important factors of statistical analysis. But the applications o...
© 2020 KIIE As a widely used method, regression analysis plays an increasingly important role in cre...
This paper deals with a new approach to fuzzy linear regression analysis. A doubly linear adaptive f...
Fuzzy regression models are useful for investigating the relationship between explanatory variables...
We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy rela...
There is uncertainty that the crisp function in classic regression analysis presents the relationshi...
The economic and social research is often based on assumptions that have little to do with reality, ...
informational paradigm, fuzzy data, distance measure for fuzzy data, principal component analysis, l...
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