Abstract

Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based systems in terms of modeling, decision making, analysis, prediction, classification, etc. This study reviews the applications and trends of FCMs in the field of systems risk analysis to the end of August 2020. To this end, the concepts of failure, accident, incident, hazard, risk, error, and fault are focused in the context of the conventional risks of the systems. After reviewing risk-based articles, a bibliographic study of the reviewed articles was carried out. The survey indicated that the main applications of FCMs in the systems risk field were in management sciences, engineering sciences and industrial applications, and medical and biological sciences. A general trend for potential FCMs’ applications in the systems risk field is provided by discussing the results obtained from different parts of the survey study.

Highlights

  • The modern world relies on sophisticated human systems and new technologies to make decisions in the presence of uncertainty

  • The articles were assessed based on publication year, publisher journals, and the organizational affiliations of authors

  • The number of articles published from 2012 onwards has been increased dramatically. The reason for this growth can be attributed to the publication of review papers in this field, including [110] and [111] studies, which have provided more information about the main advantages of the Fuzzy cognitive maps (FCMs) method

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Summary

Introduction

The modern world relies on sophisticated human systems and new technologies to make decisions in the presence of uncertainty. Risk management systematically applies management policy processes to determine, identify, control, and minimize the effects and consequences of potential events. Risk assessment in three stages of identifying, analyzing, and measuring risks is aimed at reducing the negative impacts of identified risks in developing activities and improving the performance of decision-makers [62, 154]. To this end, risks can be ranked to assist managers in identifying and evaluating areas with high risks, the necessary controls, and adjusting techniques for those required controls [23]. Analysis, and assessment of the risks can be done based on three factors: occurrence probability, severity, and detection using the conventional failure mode and effects analysis (FMEA) method [20, 69]

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