ISSN 2234-8417 (Online) ISSN 1598-5857 (Print)

Table of Contents
2014's   32,3-4(May)
  Fuzzy regression towards a general insurance application
    By Joseph H. T. Kim ..........1514
Generic Number - 1514
References - 0
Written Date - May 16th, 14
Modified Date - May 16th, 14
Downloaded Counts - 1115
Visited Counts - 10856
Original File
In many non-life insurance applications past data are given in a form known as the
run-off triangle. Smoothing such data using parametric crisp regression models has
long served as the basis of estimating future claim amounts and the reserves set
aside to protect the insurer from future losses. In this article a fuzzy counterpart of
the Hoerl curve, a well-known claim reserving regression model, is proposed to
analyze the past claim data and to determine the reserves. The fuzzy Hoerl curve is
more flexible and general than the one considered in the previous fuzzy literature in
that it includes a categorical variable with multiple explanatory variables, which
requires the development of the fuzzy analysis of covariance, or fuzzy ANCOVA.
Using an actual insurance run-off claim data we show that the suggested fuzzy
Hoerl curve based on the fuzzy ANCOVA gives reasonable claim reserves without
stringent assumptions needed for the traditional regression approach in claim

학회 : 정보전산응용수학회(KSICAM) (구: KSCAM & Korean SIGCAM)
연구소 : SPCHIN 전산응용수학연구소 ( SPCHIN-CAM Institute : SPCHIN-CAMI)
Copyright ⓒ 2021 JAMC, JAMI. All rights reserved.  E-mail :
Main Office : c/o Springer Tiergartenstrasse 17 D-69121 Heidelberg, GERMANY.