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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2012, 17(3), 223-234; https://doi.org/10.3390/mca17030223

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.
Published: 1 December 2012
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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 robust regression; fuzzy regression; membership function; insurance
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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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.

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