THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39898724" target="_blank" >RIV/00216275:25410/14:39898724 - isvavai.cz</a>

Výsledek na webu

<a href="http://conferences.ukf.sk/index.php/phdconf/phdconf2014" target="_blank" >http://conferences.ukf.sk/index.php/phdconf/phdconf2014</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY

Popis výsledku v původním jazyce

The presented paper deals with the possibility of using Rough Sets Theory in insurance industry. Insurance frauds cause significant economic losses. Each insurance company has built a department that specializes in detection insurance frauds. These frauds mean for insurers damages in the millions per year. Department of the liquidation of insurance claims solves two seemingly contradictory tasks. On the one hand it tries to quickly settle claim and to pay to the client insurance settlement. On the otherhand it analyzes individual events and detect fraudulent events and this analyze is time-consuming. Given the volume of insurance claims that are handled it is necessary to ensure automated procedure for deciding whether some event may seem characteristics of fraudulent behaviour or not. Using Rough Sets Theory (RST) could help to detect insurance fraud. The first part briefly describes each part of this paper. The following part focuses on Rough Sets Theory (RST) and its concepts and t

Název v anglickém jazyce

THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY

Popis výsledku anglicky

The presented paper deals with the possibility of using Rough Sets Theory in insurance industry. Insurance frauds cause significant economic losses. Each insurance company has built a department that specializes in detection insurance frauds. These frauds mean for insurers damages in the millions per year. Department of the liquidation of insurance claims solves two seemingly contradictory tasks. On the one hand it tries to quickly settle claim and to pay to the client insurance settlement. On the otherhand it analyzes individual events and detect fraudulent events and this analyze is time-consuming. Given the volume of insurance claims that are handled it is necessary to ensure automated procedure for deciding whether some event may seem characteristics of fraudulent behaviour or not. Using Rough Sets Theory (RST) could help to detect insurance fraud. The first part briefly describes each part of this paper. The following part focuses on Rough Sets Theory (RST) and its concepts and t

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Scientia iuvenis - Book of Scientific Papers

ISBN

978-80-558-0650-1

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

407-411

Název nakladatele

Univerzita Konštantína Filozofa v Nitre

Místo vydání

Nitra

Místo konání akce

Nitra

Datum konání akce

22. 10. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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