Fuzzy Cognitive Maps for Knowledge-Oriented Human Risk Management in Industry  
Author Silvia Carpitella


Co-Author(s) Ilyas Mzougui; Joaquín Izquierdo


Abstract 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.


Keywords Fuzzy Cognitive Maps, FMECA, human risk, risk management, automotive industry
    Article #:  RQD26-134

Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 5-7, 2021