A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models
نویسندگان
چکیده
منابع مشابه
Fuzzy linear regression model with crisp coefficients: A goal programming approach
The fuzzy linear regression model with fuzzy input-output data andcrisp coefficients is studied in this paper. A linear programmingmodel based on goal programming is proposed to calculate theregression coefficients. In contrast with most of the previous works, theproposed model takes into account the centers of fuzzy data as animportant feature as well as their spreads in the procedure ofconstr...
متن کاملLinear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
In order to estimate fuzzy regression models, possibilistic and least-squares procedures can be considered. By taking into account a least-squares approach, regression models with crisp or fuzzy inputs and crisp or fuzzy output are suggested. In particular, for these fuzzy regression models, unconstrained and constrained (with inequality restrictions) least-squares estimation procedures are dev...
متن کاملInterval linear regression
In this paper, we have studied the analysis an interval linear regression model for fuzzy data. In section one, we have introduced the concepts required in this thesis and then we illustrated linear regression fuzzy sets and some primary definitions. In section two, we have introduced various methods of interval linear regression analysis. In section three, we have implemented nu...
متن کاملA New Algorithm for Fuzzy Linear Regression with Crisp Inputs and Fuzzy Output
In this work, the parameters of fuzzy linear regression based on the least squares approach is computed by ST-decomposition method. This method is not an iterative technique, however, it is a powerful method for nonsingular coefficient matrices. Numerical examples are at the end of this paper to illustrate the performance of the new method.
متن کاملFuzzy Linear Regression Models with Fuzzy Entropy
Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et al. The goal of this regression is to find the coefficient of a proposed model for all given input-output data sets. In this paper, we propose a new 1716 E. Pasha et al method for computation of fuzzy regression. The method is constructed on the basis of minimi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematics
سال: 2020
ISSN: 2227-7390
DOI: 10.3390/math8091422