Targeted Trust-Based Merging of Customers’ Opinions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00640202" target="_blank" >RIV/67985556:_____/25:00640202 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41110/25:101915
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-032-04555-3_29" target="_blank" >http://dx.doi.org/10.1007/978-3-032-04555-3_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-04555-3_29" target="_blank" >10.1007/978-3-032-04555-3_29</a>
Alternative languages
Result language
angličtina
Original language name
Targeted Trust-Based Merging of Customers’ Opinions
Original language description
In this article, we investigate how a rational agent forms their opinion based on prior knowledge, available information, and the opinions of other agents. We propose methodology of how to purposefully merge agent’s opinion and expert opinions. We describe the agent’s opinion and the opinions of experts in the form of distributions. Formulating opinion formation as a decision-making task and solve it using Fully Probabilistic Design (FPD). T o demonstrate our approach, we apply the solution on simulated data describing features of mobile phone brands. Methodology is verified on a test bed example of choosing a mobile phone brand based on expert opinions while taking into account agent’s trust in experts.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Neural Networks and Machine Learning – ICANN 2025
ISBN
978-3-032-04554-6
ISSN
0302-9743
e-ISSN
0302-9743
Number of pages
15
Pages from-to
351-365
Publisher name
Springer
Place of publication
Cham
Event location
Kaunas
Event date
Sep 9, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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