Add to ORKGIn this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey.In this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression...
WOS: 000260806300004Since fuzzy linear regression was introduced by Tanaka et al., fuzzy regression ...
Abstract—A novel approach is introduced to construct a fuzzy regression model when both input data a...
In practical applications relating to business and management sciences, there are many variables tha...
In this study, a fuzzy robust regression method is proposed to construct a model that describes the ...
ÖZETFUZZY ROBUST REGRESYON İLE BİR UYGULAMARegresyon analizinde veri setini analiz etmek oldukça öne...
summary:In this paper are presented two robust estimators of unknown fuzzy parameters in the fuzzy r...
In standard regression the Least Squares approach may fail to give valid estimates due to the presen...
We develop a test for the fuzziness of regression coefficients based on the Tanaka et al. (1982) an...
Özet: Regresyon analizinde veri setini analiz etmek oldukça önemlidir. Çünkü tek bir gözlem bile reg...
WOS: 000269190000021The classical least squares (LS) method is widely used in regression analysis be...
In this paper we propose a robust fuzzy linear regression model based on the Least Median Squares-We...
In this article, we propose several applications of fuzzy regression techniques for actuarial proble...
This paper proposes the use of bootstrap, robust and fuzzy multiple linear regressions method in han...
All econometric prediction models build on the assumption that the possible outcomes of a random eve...
In this paper, we address the issues related to the design of fuzzy robust linear regression algorit...
WOS: 000260806300004Since fuzzy linear regression was introduced by Tanaka et al., fuzzy regression ...
Abstract—A novel approach is introduced to construct a fuzzy regression model when both input data a...
In practical applications relating to business and management sciences, there are many variables tha...
In this study, a fuzzy robust regression method is proposed to construct a model that describes the ...
ÖZETFUZZY ROBUST REGRESYON İLE BİR UYGULAMARegresyon analizinde veri setini analiz etmek oldukça öne...
summary:In this paper are presented two robust estimators of unknown fuzzy parameters in the fuzzy r...
In standard regression the Least Squares approach may fail to give valid estimates due to the presen...
We develop a test for the fuzziness of regression coefficients based on the Tanaka et al. (1982) an...
Özet: Regresyon analizinde veri setini analiz etmek oldukça önemlidir. Çünkü tek bir gözlem bile reg...
WOS: 000269190000021The classical least squares (LS) method is widely used in regression analysis be...
In this paper we propose a robust fuzzy linear regression model based on the Least Median Squares-We...
In this article, we propose several applications of fuzzy regression techniques for actuarial proble...
This paper proposes the use of bootstrap, robust and fuzzy multiple linear regressions method in han...
All econometric prediction models build on the assumption that the possible outcomes of a random eve...
In this paper, we address the issues related to the design of fuzzy robust linear regression algorit...
WOS: 000260806300004Since fuzzy linear regression was introduced by Tanaka et al., fuzzy regression ...
Abstract—A novel approach is introduced to construct a fuzzy regression model when both input data a...
In practical applications relating to business and management sciences, there are many variables tha...