Browsing by Author "Kula, Kamile Sanli"
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Fuzzy Robust Regressıon Analysıs Based On The Rankıng Of Fuzzy Sets
Kula, Kamile Sanli; Apaydin, Aysen (WORLD SCIENTIFIC PUBL CO PTE LTD, 2008)Since fuzzy linear regression was introduced by Tanaka et al., fuzzy regression analysis has been widely studied and applied invarious areas. Diamond proposed the fuzzy least squares method to eliminate disadvantages in ... -
Hypotheses testing for fuzzy robust regression parameters
Kula, Kamile Sanli; Apaydin, Aysen (PERGAMON-ELSEVIER SCIENCE LTD, 2009)The classical least squares (LS) method is widely used in regression analysis because computing its estimate is easy and traditional. However, LS estimators are very sensitive to outliers and to other deviations from basic ... -
Neural networks approach for determining total claim amounts in insurance
Dalkilic, Turkan Erbay; Tank, Fatih; Kula, Kamile Sanli (ELSEVIER SCIENCE BV, 2009)In this study, we present an approach based on neural networks, as an alternative to the ordinary least squares method, to describe the relation between the dependent and independent variables. It has been suggested to ... -
Parameter estimation by anfis where dependent variable has outlier
Dalkilic, Turkan Erbay; Kula, Kamile Sanli; Apaydin, Aysen (HACETTEPE UNIV, FAC SCI, 2014)Regression analysis is investigation the relation between dependent and independent variables. And, the degree and functional shape of this relation is determinate by regression analysis. In case that dependent variable ... -
Parameter Estimation by Fuzzy Adaptive Networks and Comparison with Robust Regression Methods
Dalkilic, Turkan Erbay; Kula, Kamile Sanli (GAZI UNIV, 2015)Fuzzy adaptive networks used for estimating the unknown parameters of a regression model are based on fuzzy ifthen rules and a fuzzy inference system. In regression analysis, data analysis is very important, because, every ...
