Identifying of Profitability of the Client under Condition of Uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU114425" target="_blank" >RIV/00216305:26510/15:PU114425 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Identifying of Profitability of the Client under Condition of Uncertainty
Popis výsledku v původním jazyce
Accurate client information is important for identifying of a profitability of a client, e.g. in the insurance business. In the real situations accurate information are usually not known as there is always uncertainty in input data / information. This uncertainty of input data is based on usage vague, sparse, partially inconsistent and subjective knowledge of experts. Decision-making under these conditions is difficult and can lead to incorrect results (decisions). The aim of this paper is to present easy approach how identifying of profitability of the client in insurance business under condition of input data uncertainty. The solution to the decision-making problem is based on the decision to extend or renew an insurance contract for next period (concretely two years). The solution of this problem is based on the decision-making task, which is graphically illustrated by a decision tree. This decision problem is solved for a fictitious client, but the necessary data sets are based on
Název v anglickém jazyce
Identifying of Profitability of the Client under Condition of Uncertainty
Popis výsledku anglicky
Accurate client information is important for identifying of a profitability of a client, e.g. in the insurance business. In the real situations accurate information are usually not known as there is always uncertainty in input data / information. This uncertainty of input data is based on usage vague, sparse, partially inconsistent and subjective knowledge of experts. Decision-making under these conditions is difficult and can lead to incorrect results (decisions). The aim of this paper is to present easy approach how identifying of profitability of the client in insurance business under condition of input data uncertainty. The solution to the decision-making problem is based on the decision to extend or renew an insurance contract for next period (concretely two years). The solution of this problem is based on the decision-making task, which is graphically illustrated by a decision tree. This decision problem is solved for a fictitious client, but the necessary data sets are based on
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AE - Řízení, správa a administrativa
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth
ISBN
978-0-9860419-4-5
ISSN
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e-ISSN
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Počet stran výsledku
9
Strana od-do
2587-2595
Název nakladatele
International Business Information Management Association (IBIMA)
Místo vydání
Amsterdam, Netherlands
Místo konání akce
Amsterdam
Datum konání akce
7. 5. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000360508700253