| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0547793 |
| utime |
20240111141057.4 |
| mtime |
20211109235959.9 |
| DOI |
10.1109/ICTE51655.2021.9584706 |
| title
(primary) (eng) |
Ambiguity effect: decision-making influenced by lack of information |
| specification |
| page_count |
6 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0548405 |
| ISBN |
978-1-6654-3895-7 |
| title
|
2021 IEEE International Conference on Technology and Entrepreneurship (ICTE) |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2021 |
|
|
| keyword |
decision making |
| keyword |
ambiguity |
| keyword |
belief function |
| keyword |
subjective characteristics |
| author
(primary) |
| ARLID |
cav_un_auth*0101118 |
| name1 |
Jiroušek |
| name2 |
Radim |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept (eng) |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department (eng) |
MTR |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0216188 |
| name1 |
Kratochvíl |
| name2 |
Václav |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department |
MTR |
| full_dept |
Department of Decision Making Theory |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA19-06569S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0380559 |
|
| abstract
(eng) |
Quite often, the best human decision-makers outperform computer-aided decision systems. It is not only because humans can take into account faint pieces of information that cannot be formalized but also that they occasionally behave intuitively, which can hardly be incorporated into a formal optimization criterion. Therefore, mathematicians enhance their decision models to make their behavior similar to that of human decision-makers. They fit decision models up with different parameters controlling the optimality of the considered decision. From this point of view, the simplest and perhaps the most popular is the Hurwitz coefficient of pessimism controlling whether the decision process tends to expect more the best or the worst outcome. In this paper, we design a model with a parameter controlling the strength of ambiguity aversion of the resulting decision process. |
| action |
| ARLID |
cav_un_auth*0416693 |
| name |
International Conference on Technology and Entrepreneurship 2021 |
| dates |
20210824 |
| mrcbC20-s |
20210827 |
| place |
Kaunas |
| country |
LT |
|
| RIV |
BD |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2022 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0324440 |
| mrcbC61 |
1 |
| confidential |
S |
| article_num |
9584706 |
| arlyear |
2021 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0548405 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE) IEEE 2021 Piscataway 978-1-6654-3895-7 |
|