Identifying of Profitability of the Client under Condition of Uncertainty
The result's identifiers
Result code in 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>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Identifying of Profitability of the Client under Condition of Uncertainty
Original language description
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
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth
ISBN
978-0-9860419-4-5
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
2587-2595
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Amsterdam, Netherlands
Event location
Amsterdam
Event date
May 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000360508700253