Fuzzy Neural Network Technology Support Decision-Making

DOI

10.2991/itsmssm-17.2017.27How to use a DOI?

Keywords

Fuzzy activation functions, Fuzzy neural networks, Markovian arrival processes, intensity clustering

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nguyen Anh Tu
AU  - Anatoliy Korikov
AU  - Nguyen Anh Tuan
PY  - 2017/12
DA  - 2017/12
TI  - Fuzzy Neural Network Technology Support Decision-Making
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 128
EP  - 131
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.27
DO  - 10.2991/itsmssm-17.2017.27
ID  - AnhTu2017/12
ER  -