Markov chain and ratgos-driven fuzzy decision-making for prioritizing cybersecurity measures in microgrid systems

HIGHLIGHTS

  • What: The aim of this study is to identify the most significant factors to increase the of For this purpose a novel machine learning methodology adopted model has been generated that has three different stages. As a result of this analysis, improvements can be made towards more important criteria. The main reason is that most of the models do not consider the qualifications of the experts. This study analyzes the cybersecurity success in microgrid investments.
  • Who: Serkan Eti from the Germany Germany have published the research: Markov chain and RATGOS-driven fuzzy decision-making for . . .

     

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