bibtype C - Conference Paper (international conference)
ARLID 0545793
utime 20220320214337.8
mtime 20210923235959.9
SCOPUS 85114273635
title (primary) (eng) Fuzzy cognitive maps for knowledge-oriented human risk management in industry
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0547381
ISBN 978-099105769-6
title Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021
page_num 134-138
publisher
place Edison
name International Society of Science and Applied Technologies
year 2021
editor
name1 Pham
name2 H.
keyword Automotive industry
keyword Fuzzy cognitive maps
keyword Risk 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*0414186
name1 Mzougui
name2 I.
country MA
author
ARLID cav_un_auth*0256480
name1 Izquierdo
name2 J.
country ES
source
url http://library.utia.cas.cz/separaty/2021/MTR/carpitella-0545793.pdf
cas_special
project
project_id GA19-06569S
agency GA ČR
country CZ
ARLID cav_un_auth*0380559
abstract (eng) This contribution proposes an integrated approach making use of Fuzzy Cognitive Maps (FCMs) to organise in a flexibleway human knowledge about decision-making (DM) problems of interest in industry. By modelling human reasoning, FCMs allow to represent real phenomena on the basis of spontaneous human brainstorming on relations between pairs of relevant DM elements. Because of its characteristics, the use of FCMs can be effective to model DM problems such as human risk management, particularly critical in the industrial business sector. After identifying human risks in the existing literature, FCMs will be used to define relations among risks, which will be later prioritised by means of a modified Failure Modes, Effects and Criticality Analysis (FMECA). A case study on the sector of automotive industry is eventually implemented and solved to provide practical insights for risk management.
action
ARLID cav_un_auth*0414182
name ISSAT International Conference on Reliability and Quality in Design 2021 /26./
dates 20210805
mrcbC20-s 20210807
place Edison (on-line)
country US
RIV BB
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2022
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0323619
confidential S
arlyear 2021
mrcbU14 85114273635 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0547381 Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021 International Society of Science and Applied Technologies 2021 Edison 134 138 978-099105769-6
mrcbU67 Pham H. 340