International Journal of Man-Machine Studies
Introduction to Grey system theory
The Journal of Grey System
Using fuzzy cognitive maps as a system model for failure modes and effects analysis
Information Sciences: an International Journal
Fuzzy engineering
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links
International Journal of Human-Computer Studies
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Expert Systems with Applications: An International Journal
Benchmarking main activation functions in fuzzy cognitive maps
Expert Systems with Applications: An International Journal
Augmented fuzzy cognitive maps for modelling LMS critical success factors
Knowledge-Based Systems
Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergence
IEEE Transactions on Fuzzy Systems
Modelling grey uncertainty with Fuzzy Grey Cognitive Maps
Expert Systems with Applications: An International Journal
Ranking fuzzy cognitive map based scenarios with TOPSIS
Expert Systems with Applications: An International Journal
Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach
International Journal of Approximate Reasoning
Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive Maps
IEEE Transactions on Software Engineering
Modeling complex systems using fuzzy cognitive maps
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A grey-based decision-making approach to the supplier selection problem
Mathematical and Computer Modelling: An International Journal
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Current industrial equipment has become more complex and huge. In this case, the conventional reliability techniques cannot correctly support functional assessment. This paper integrates an innovative soft computing methodology, Fuzzy Grey Cognitive Map (FGCM), into a traditional reliability analysis for better knowledge. FGCMs are used for evaluating, modelling and aiding decision-making by examining causal relations among relevant domain concepts. The proposed procedure is illustrated with a reliability analysis of a transformer active part. Twenty failure causes in the transformer's active part are identified and assessed. In addition, six failure scenarios are simulated. The results revealed the potential of the combination of FGCM and failure analysis for complex systems. The proposed methodology exposes the potential benefits it could provide in order to assist electric power system decision-makers to supply its customer electrical energy with a high degree of reliability.