| Title:
|
Decision-making under uncertainty processed by lattice-valued possibilistic measures (English) |
| Author:
|
Kramosil, Ivan |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
42 |
| Issue:
|
6 |
| Year:
|
2006 |
| Pages:
|
629-646 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
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. (English) |
| Keyword:
|
decision making under uncertainty |
| Keyword:
|
complete lattice |
| Keyword:
|
lattice- valued possibilistic measures |
| Keyword:
|
possibilistic decision function |
| Keyword:
|
minimax and Bayesian optimization |
| MSC:
|
28E10 |
| MSC:
|
28E99 |
| MSC:
|
91B06 |
| idZBL:
|
Zbl 1249.28024 |
| idMR:
|
MR2296505 |
| . |
| Date available:
|
2009-09-24T20:19:30Z |
| Last updated:
|
2015-03-29 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135741 |
| . |
| Reference:
|
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| Reference:
|
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| Reference:
|
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| Reference:
|
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| Reference:
|
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| Reference:
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| Reference:
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| Reference:
|
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| Reference:
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| Reference:
|
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| Reference:
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| Reference:
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| . |
