Detail publikace

Evaluating the Creditworthiness of a Client in the Insurance Industry Using Adaptive Neuro-Fuzzy Inference System

DOSKOČIL, R.

Originální název

Evaluating the Creditworthiness of a Client in the Insurance Industry Using Adaptive Neuro-Fuzzy Inference System

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The article deals with the issue of a client´s creditworthiness assessment in the insurance industry. The article aims to identify new factors related to a client´s creditworthiness, and to create an assessment model. The factors which have relations to a client´s creditworthiness were identified in the first research stage. These factors represent the inputs into the model. The assessment model of the client´s creditworthiness was created in the second stage. In the third stage, the model was verified and implemented. The neuro-fuzzy method was used for creation, verification and implementation of the model. Five variables were selected as the inputs including damages, insurance length, insurance penetration, annual earnings and 2nd degree liquidity. These input variables were divided into two categories based on their nature (insurance indicators, accounting indicators). Research results show that the proposed model was verified above input data and can be used as a tool for supporting decisions concerning a client’s creditworthiness in the insurance industry. The main contribution of the paper is the identification of new factors which have relation to a client’s creditworthiness and the creation of the assessment model which works with these new factors transferred to fuzzy variables. The proposed model differs from the current approaches primarily thanks to its complex, systematic and hierarchical ability to evaluate the newly identified factors related to a client’s creditworthiness as fuzzy variables. Thanks to the model, it is possible to automate and accelerate the process of evaluation of a client’s creditworthiness in the insurance industry. The knowledge gained from the evaluation model is immediately possible to use in the strategic management of insurance companies e.g. in marketing activities.

Klíčová slova

Insurance Industry, Creditworthiness, Decision-Making, Neuro-Fuzzy Model, Fuzzy Logic, Artificial Neural Network.

Autoři

DOSKOČIL, R.

Vydáno

28. 2. 2017

Nakladatel

Kaunas University of Technology

Místo

Kaunas, Litevská republika

ISSN

1392-2785

Periodikum

Engineering Economics

Ročník

28

Číslo

1

Stát

Litevská republika

Strany od

15

Strany do

24

Strany počet

10

URL

http://inzeko.ktu.lt/index.php/EE/article/view/14194

Plný text v Digitální knihovně

http://hdl.handle.net/11012/201703

BibTex

@article{BUT133715,
  author="Radek {Doskočil}",
  title="Evaluating the Creditworthiness of a Client in the Insurance Industry Using Adaptive Neuro-Fuzzy Inference System",
  journal="Engineering Economics",
  year="2017",
  volume="28",
  number="1",
  pages="15--24",
  doi="10.5755/j01.ee.28.1.14194",
  issn="1392-2785",
  url="http://inzeko.ktu.lt/index.php/EE/article/view/14194"
}