Fuzzy cognitive maps in systems risk analysis: a comprehensive review

被引：63

作者：

Bakhtavar, Ezzeddin ^{[1
,2
]}

Valipour, Mahsa ^{[3
]}

Yousefi, Samuel ^{[3
]}

Sadiq, Rehan ^{[2
]}

Hewage, Kasun ^{[2
]}

机构：

[1] Urmia Univ Technol, Fac Min & Mat Engn, Band Rd, Orumiyeh 5716693188, Iran

[2] Univ British Columbia, Sch Engn, 3333 Univ Way, Kelowna, BC V1V 1V7, Canada

[3] Urmia Univ Technol, Fac Ind Engn, Orumiyeh, Iran

来源：

COMPLEX & INTELLIGENT SYSTEMS | 2021年 / 7卷 / 02期

关键词：

System risk; Error; Fault; Failure; Fuzzy cognitive map; DECISION-MAKING APPROACH; BREAST-CANCER; MANAGEMENT MODEL; OPTIMIZATION; FCM; KNOWLEDGE; SUPPORT; ENVIRONMENT; NETWORK; HEALTH;

D O I：

10.1007/s40747-020-00228-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：621 / 637

页数：17

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