| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0555325 |
| utime |
20230316104758.3 |
| mtime |
20220311235959.9 |
| SCOPUS |
85126522717 |
| WOS |
000786448900004 |
| DOI |
10.1007/978-3-030-98018-4_4 |
| title
(primary) (eng) |
Preference-Based Assessment of Organisational Risk in Complex Environments |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0555324 |
| ISBN |
978-3-030-98017-7 |
| title
|
Integrated Uncertainty in Knowledge Modelling and Decision Making |
| page_num |
40-52 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2022 |
|
|
| keyword |
Organisational risk |
| keyword |
Decision-making |
| keyword |
Analytic Network Process |
| keyword |
Fuzzy Cognitive Maps |
| keyword |
Complexity management |
| author
(primary) |
| ARLID |
cav_un_auth*0398866 |
| name1 |
Carpitella |
| name2 |
Silvia |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept (eng) |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department (eng) |
MTR |
| country |
IT |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0256480 |
| name1 |
Izquierdo |
| name2 |
J. |
| country |
ES |
|
| source |
|
| cas_special |
| project |
| project_id |
GA19-06569S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0380559 |
|
| abstract
(eng) |
This chapter proposes a preference-based approach for optimising the process of organisational risk assessment in complex and uncertain environments, where significant decision-making factors may be interconnected. Organisational risks are herein treated from the perspective of the work-related stress risk involving psycho-physical factors crucial for the safety and well-being of human resources. The traditional Health and Safety Executive (HSE) model commonly used for stress evaluation in working environments is herein improved by first applying the Analytic Network Process (ANP) to weight management standards (MS). This technique has been chosen to avoid neglecting potential relations bounding MS with each other. Finally, Fuzzy Cognitive Maps (FCMs) are used to study dependence among significant stress factors. In such a direction, the support offered by the fuzzy set theory is relevant to deal with subjective evaluations of preference. The case of an Italian airport is analysed to demonstrate the applicability of the approach, and managerial insights are discussed. |
| action |
| ARLID |
cav_un_auth*0427580 |
| name |
IUKM: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making 2022 /9./ |
| dates |
20220318 |
| mrcbC20-s |
20220319 |
| place |
Ishikawa |
| country |
JP |
|
| RIV |
AQ |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2023 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0330291 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Management |
| arlyear |
2022 |
| mrcbU02 |
C |
| mrcbU14 |
85126522717 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000786448900004 WOS |
| mrcbU63 |
cav_un_epca*0555324 Integrated Uncertainty in Knowledge Modelling and Decision Making Springer 2022 Cham 40 52 978-3-030-98017-7 Lecture Notes in Computer Science 13199 |
|