Evolution of insurance company service quality survey, using self-learning neural network

Vladimír Konečný, Oldřich Trenz and Dana Dvořáková
Additional contact information
Vladimír Konečný: Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika
Oldřich Trenz: Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika
Dana Dvořáková: Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011, vol. 59, issue 2, 149-154

Abstract: The objective of the paper is to demonstrate the abilities and possible approaches to classification of set of objects using self-organizing maps. As the objects, clients of an insurance company that made an agreement regarding mandatory insurance of motor vehicles were selected. The opinions of the clients and their overall satisfaction reflected in responses to presented answers.The clients were classified into three groups. The first two contained satisfied clients (i.e. good clients for the company), the last group contained clients that could potentially switch to the competitors. Subsequent analysis enabled discovering the reasons of low customer satisfaction and critical factors of losing the least satisfied clients.For the analysis of the responses (one hundred fifty-one) and the insurance company, experimental model of self-organizing map realized at the Department of informatics was used. Used experimental model has proved very effective software tool.

Keywords: insurance company; neural network; self-learning; classification; class representative; plane projection (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://acta.mendelu.cz/doi/10.11118/actaun201159020149.html (text/html)
http://acta.mendelu.cz/doi/10.11118/actaun201159020149.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2011059020149

DOI: 10.11118/actaun201159020149

Access Statistics for this article

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis is currently edited by Markéta Havlásková

More articles in Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis from Mendel University Press
Bibliographic data for series maintained by Ivo Andrle ().