| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0639049 |
| utime |
20251006140333.3 |
| mtime |
20250918235959.9 |
| title
(primary) (eng) |
Fuzzy Bayesian Networks with Likert Scales |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0636591 |
| ISBN |
978-80-7378-525-3 |
| title
|
Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25) |
| page_num |
164-175 |
| publisher |
| place |
Prague |
| name |
MatfyzPress |
| year |
2025 |
|
| editor |
| name1 |
Studený |
| name2 |
Milan |
|
| editor |
|
| editor |
| name1 |
Capotorti |
| name2 |
Andrea |
|
| editor |
| name1 |
Csirmaz |
| name2 |
László |
|
| editor |
| name1 |
Jiroušek |
| name2 |
Radim |
|
| editor |
| name1 |
Kleiter |
| name2 |
Gernot D. |
|
| editor |
| name1 |
Shenoy |
| name2 |
Prakash P. |
|
|
| keyword |
Bayesian networks |
| keyword |
Fuzzy theory |
| keyword |
uncertainty in artificicial intelligence |
| author
(primary) |
| ARLID |
cav_un_auth*0493360 |
| name1 |
Mrógala |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0212605 |
| name1 |
Perfilieva |
| name2 |
I. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101228 |
| name1 |
Vomlel |
| name2 |
Jiří |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
CZ.02.01.01/00/23_021/000859 |
| agency |
EC |
| country |
CZ |
| ARLID |
cav_un_auth*0493362 |
|
| abstract
(eng) |
Our work is motivated by the applications of probabilistic models in the social sciences, in which surveys and questionnaires are typically used to collect respondents' opinions via a Likert scale. The dividing lines between the states on the Likert scale are vague, so it is natural to interpret them using fuzzy numbers instead of integers. We treat the true model variables as hidden continuous variables, the values of which are observed only through their fuzzified counterparts. This approach seems more conceptually appropriate in the context of surveys and questionnaires, since the modeled variables are continuous by nature but are only observed on a fuzzy, discrete scale. Probabilistic inference with continuous variables is challenging when the assumption of normality of the variables' distribution is violated, which is particularly true for variables modeling polarizing issues. We approximate continuous, multidimensional probability distributions using an F-transform composed of basic functions with central points, called nodes, at a multidimensional grid. We illustrate the suggested approach using a small Bayesian network model of data from the survey ``Dividing Lines in Czech Society.'' |
| action |
| ARLID |
cav_un_auth*0493361 |
| name |
Workshop on Uncertainty Processing (WUPES’25) |
| dates |
20250604 |
| mrcbC20-s |
20250607 |
| place |
Třešť |
| country |
CZ |
|
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2026 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0370049 |
| cooperation |
| ARLID |
cav_un_auth*0418144 |
| name |
Ostravská univerzita |
| institution |
OSU |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2025 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0636591 Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25) 978-80-7378-525-3 164 175 Prague MatfyzPress 2025 719 |
| mrcbU67 |
Studený Milan 340 |
| mrcbU67 |
Ay Nihat 340 |
| mrcbU67 |
Capotorti Andrea 340 |
| mrcbU67 |
Csirmaz László 340 |
| mrcbU67 |
Jiroušek Radim 340 |
| mrcbU67 |
Kleiter Gernot D. 340 |
| mrcbU67 |
Shenoy Prakash P. 340 |
|