| bibtype |
J -
Journal Article
|
| ARLID |
0638001 |
| utime |
20250902082644.7 |
| mtime |
20250812235959.9 |
| SCOPUS |
105002901919 |
| DOI |
10.1007/s43069-025-00452-x |
| title
(primary) (eng) |
A Probabilistic Formulation of Problem of Optimal Search for a Lost Person |
| specification |
| page_count |
13 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0638000 |
| ISSN |
26622556 |
| title
|
Operations Research Forum |
| volume_id |
6 |
|
| keyword |
Search and rescue |
| keyword |
Optimal search |
| keyword |
Discrete probability |
| keyword |
Bayes rule |
| author
(primary) |
| ARLID |
cav_un_auth*0101227 |
| name1 |
Volf |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| full_dept |
Department of Stochastic Informatics |
| share |
100 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
This paper deals with a simple probabilistic description of some issues related to searching for a missing person.They concern at least two interesting points of the application of mathematics in managerial decision-making. First, we propose the use of Bayes’ rule to recalculate the probability of a lost person location based on additional information. Next, the optimal ordering of searched areas is determined that minimizes the average (expected) search time. Finally, the proposed solutions is illustrated with several artificial examples. |
| result_subspec |
SCOPUS |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2026 |
| num_of_auth |
1 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0369142 |
| confidential |
S |
| article_num |
52 |
| mrcbC91 |
A |
| arlyear |
2025 |
| mrcbU14 |
105002901919 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0638000 Operations Research Forum 6 2 2025 26622556 |
|