0545793 20220320214337.820210923235959.9 85114273635 5 s. E cav_un_epca*0547381978-099105769-6134-138EdisonInternational Society of Science and Applied Technologies2021PhamH. Automotive industry Fuzzy cognitive maps Risk management cav_un_auth*0398866 Carpitella Silvia UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR IT Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0414186 Mzougui I. MA cav_un_auth*0256480 Izquierdo J. ES http://library.utia.cas.cz/separaty/2021/MTR/carpitella-0545793.pdf GA19-06569S GA ČR CZ cav_un_auth*0380559 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. cav_un_auth*0414182 ISSAT International Conference on Reliability and Quality in Design 2021 /26./ 20210805 20210807 Edison (on-line) US BB 10000 10100 10102 2022 3 PR RVO:67985556 http://hdl.handle.net/11104/0323619 S 2021 85114273635 SCOPUS PUBMED WOS 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 Pham H. 340