A Study on Fuzzy Robust Regression and Its Application to Insurance
1
Department of Mathematics, Ahi Evran University 40200, Kırşehir / Turkey
2
Department of Statistics, Ankara University 06100, Tandoğan, Ankara, Turkey
3
Department of Statistics and Computer Sciences, Karadeniz Technical University 61080, Trabzon, Turkey
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2012, 17(3), 223-234; https://doi.org/10.3390/mca17030223
Published: 1 December 2012
Abstract
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 is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey.
Keywords:
robust regression; fuzzy regression; membership function; insurance
Share and Cite
MDPI and ACS Style
Kula, K.Ş.; Tank, F.; Dalkılıç, T.E. A Study on Fuzzy Robust Regression and Its Application to Insurance. Math. Comput. Appl. 2012, 17, 223-234. https://doi.org/10.3390/mca17030223
AMA Style
Kula KŞ, Tank F, Dalkılıç TE. A Study on Fuzzy Robust Regression and Its Application to Insurance. Mathematical and Computational Applications. 2012; 17(3):223-234. https://doi.org/10.3390/mca17030223
Chicago/Turabian StyleKula, Kamile Şanlı, Fatih Tank, and Türkan Erbay Dalkılıç. 2012. "A Study on Fuzzy Robust Regression and Its Application to Insurance" Mathematical and Computational Applications 17, no. 3: 223-234. https://doi.org/10.3390/mca17030223
