The Internet Public Opinion Propagation Model in Uncertain Environment

DOI

10.2991/mecae-17.2017.83How to use a DOI?

Keywords

Internet public opinion, Uncertain programming, Uncertainty theory, Genetic algorithm.

Abstract

With the rapid development of the internet, the classical internet public opinion (IPO) problem as an important social issue has been studied for several years. However, few of models are out of the dimension of differential equations. In this paper, a novel mathematical model for IPO problem based on uncertainty theory is first proposed. A hybrid intelligent algorithm consisted by 99-method and an improved genetic algorithm is given to solve the proposed model. Finally, a numerical example based on a real event is given to show the efficiency and usefulness of the proposed methodology. The result shows that the IPO model achieves good modeling and control performance.

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  - Xin Gao
AU  - Lin Fu
AU  - Dan A. Ralescu
PY  - 2017/03
DA  - 2017/03
TI  - The Internet Public Opinion Propagation Model in Uncertain Environment
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 436
EP  - 442
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.83
DO  - 10.2991/mecae-17.2017.83
ID  - Gao2017/03
ER  -