Fuzzy Neural Network Technology Support Decision-Making

The application of fuzzy neural network models using fuzzy neuron activation functions to solve the problems of clustering the intensity of Markov chains, whose distribution belongs to the exponential family, has been investigated and discussed in this study. The research is carried out with the help of the computer simulation tools of MATLAB software. Markov chains are presented with a ten successive elementary data sets, each of which is characterized by the intensity of arrival of events. Using fuzzy neural networks, the dichotomy problem is solved: the clusterization of the intensity of ten Poisson streams. The simulation results have validated the applicability of fuzzy neural network clustering of Markov chain intensity.