Prescriptive Inductive Operations On Probabilities Serving to Decision-Making Agents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00537685" target="_blank" >RIV/67985556:_____/22:00537685 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9324930" target="_blank" >https://ieeexplore.ieee.org/document/9324930</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSMC.2020.3047992" target="_blank" >10.1109/TSMC.2020.3047992</a>

Result language
angličtina
Original language name
Prescriptive Inductive Operations On Probabilities Serving to Decision-Making Agents
Original language description
Approximation, extension and merging of probability distributions support inductive reasoning. They serve to modelling, knowledge and preference elicitation as well as to a soft cooperation within various decision-making (DM) scenarios. The theory dubbed as fully probabilistic design of DM strategies unifies the design of these operations on distributions. The unification decreases a danger of their improper choice and use. Still there is an uncertainty how the gained tools should be wielded. The paper diminishes it by spelling out conditions ruling their exploitation. The paper serves as an updated description of these tools, provides examples of their use and guides their tailoring to diverse scenarios.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20205 - Automation and control systems

Project
<a href="/en/project/LTC18075" target="_blank" >LTC18075: Distributed rational decision making: cooperation aspects</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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