A Study on Fuzzy Robust Regression and Its Application to Insurance

Kula, Kamile Şanlı; Tank, Fatih; Dalkılıç, Türkan Erbay

doi:10.3390/mca17030223

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Article

1 December 2012

12 Pages

A Study on Fuzzy Robust Regression and Its Application to Insurance

and

Department of Mathematics, Ahi Evran University 40200, Kırşehir / Turkey

Department of Statistics, Ankara University 06100, Tandoğan, Ankara, Turkey

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

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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

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