Decision-making under uncertainty processed by lattice-valued possibilistic measures
Kybernetika (2006)
- Volume: 42, Issue: 6, page 629-646
- ISSN: 0023-5954
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topKramosil, Ivan. "Decision-making under uncertainty processed by lattice-valued possibilistic measures." Kybernetika 42.6 (2006): 629-646. <http://eudml.org/doc/33829>.
@article{Kramosil2006,
abstract = {The notion and theory of statistical decision functions are re-considered and modified to the case when the uncertainties in question are quantified and processed using lattice-valued possibilistic measures, so emphasizing rather the qualitative than the quantitative properties of the resulting possibilistic decision functions. Possibilistic variants of both the minimax (the worst-case) and the Bayesian optimization principles are introduced and analyzed.},
author = {Kramosil, Ivan},
journal = {Kybernetika},
keywords = {decision making under uncertainty; complete lattice; lattice- valued possibilistic measures; possibilistic decision function; minimax and Bayesian optimization; decision making under uncertainty; complete lattice; lattice-valued possibilistic measures; possibilistic decision function; minimax and Bayesian optimization},
language = {eng},
number = {6},
pages = {629-646},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Decision-making under uncertainty processed by lattice-valued possibilistic measures},
url = {http://eudml.org/doc/33829},
volume = {42},
year = {2006},
}
TY - JOUR
AU - Kramosil, Ivan
TI - Decision-making under uncertainty processed by lattice-valued possibilistic measures
JO - Kybernetika
PY - 2006
PB - Institute of Information Theory and Automation AS CR
VL - 42
IS - 6
SP - 629
EP - 646
AB - The notion and theory of statistical decision functions are re-considered and modified to the case when the uncertainties in question are quantified and processed using lattice-valued possibilistic measures, so emphasizing rather the qualitative than the quantitative properties of the resulting possibilistic decision functions. Possibilistic variants of both the minimax (the worst-case) and the Bayesian optimization principles are introduced and analyzed.
LA - eng
KW - decision making under uncertainty; complete lattice; lattice- valued possibilistic measures; possibilistic decision function; minimax and Bayesian optimization; decision making under uncertainty; complete lattice; lattice-valued possibilistic measures; possibilistic decision function; minimax and Bayesian optimization
UR - http://eudml.org/doc/33829
ER -
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