This paper proposes methodology to relate risk in systems using complexity metric based on active connections as a criterion for selection of decision support methods. A case study of application of complexity metric is presented with emphasis on choosing of the most appropriated decision support method for approach. Obtained results indicate that the treated problem can be classified in simple solutions area. It is concluded that system performance measure and complexity can be used in an associated way as a criterion for selection of decision and risk support methods.

Additional Metadata
Keywords complexity, decision support methods, risk
Persistent URL dx.doi.org/10.1109/EEEIC.2018.8493772
Conference 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
Citation
Paiva, J.R.B. (Joao R.B.), Gomes, V.M. (Viviane M.), Reis, M.R.C. (Marcio R.C.), Wainer, G.A, & Calixto, W.P. (Wesley P.). (2018). Relationship between Risk and Complexity in System Using Connection Based Metric. In Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018. doi:10.1109/EEEIC.2018.8493772