Development of a Differential Evolution-based Fuzzy Cognitive Maps for Data Breach in Health-care Sector Fuzzy Cognitive Maps for Data Breach

The last three decades have witnessed an increased concern in data breaches. This problem is more pronounced in patients' health information (PHI) management. Previous researchers have reported the need to address this problem from a multi-criteria perspective; however, there is sparse information on how to use fuzzy logic to integrated PHI data breach criteria. This article, therefore, presents a fuzzy-based model, which is a fuzzy cognitive map, for a data breach in health-centres using organizational and human criteria. This model combines fuzzy logic, decision-makers' opinions and cognitive maps method. Decision-makers' opinions were analysis from optimistic, pessimistic and most likely perspectives. The performance of this model has evaluated three FCM data breach forecasting scenarios. And the results obtained showed that the model predicts PHI data breach under different multi-criteria conditions. This article has been able to shed insights into the application of a fuzzy cognitive map for data breach problem in health-care centres.