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Fuzzy cognitive maps in systems risk analysis: a comprehensive review
Complex & Intelligent Systems ( IF 5.8 ) Pub Date : 2020-11-25 , DOI: 10.1007/s40747-020-00228-2
Ezzeddin Bakhtavar , Mahsa Valipour , Samuel Yousefi , Rehan Sadiq , Kasun Hewage

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.



中文翻译:

系统风险分析中的模糊认知图:全面综述

模糊认知图(FCM)已被广泛应用于在建模,决策,分析,预测,分类等方面分析复杂的基于因果的系统。本研究回顾了FCM在系统风险分析领域的应用和趋势。到2020年8月结束。为此,故障,事故,事件,危险,风险,错误和故障的概念都集中在系统的常规风险范围内。在审查了基于风险的文章之后,对所审查的文章进行了书目研究。调查表明,FCM在系统风险领域的主要应用是管理科学,工程科学和工业应用以及医学和生物科学。

更新日期:2020-11-27
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