A study on fuzzy robust regression and its application to insurance
type: Item
instance of: scholarly article
title: A study on fuzzy robust regression and its application to insurance
author: Fatih Tank
author: Kamile Şanli Kula
author: Türkan Erbay Dalkılıç
published in: Mathematical \& Computational Applications
publication date: 2018-07-05T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 62J86
Mathematics Subject Classification ID: 62P05
Mathematics Subject Classification ID: 91B30
zbMATH DE Number: 6898815
zbMATH Keywords: robust regression
zbMATH Keywords: fuzzy regression
zbMATH Keywords: membership function
zbMATH Keywords: insurance
MaRDI profile type: Publication
full work available at URL: mca17030223
OpenAlex ID: W2297574881
DOI: 10.3390/MCA17030223
description: scientific article; zbMATH DE number 6898815