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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Towards A Multi-Dimensional Modelling Of Complex Social Systems

Using Data Mining And Type-2 Neuro-Fuzzy System:

Religious Affiliation Case Of Study

Authors:

Manuel CastañónPuga, Carelia Gaxiola-Pacheco, Juan Ramón Castro, Dora-Luz Flores, Ramiro JaimesMartínez

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

Castanon-Puga, M., Gaxiola-Pacheco, C., Castro, J. R., Martinez, R. J., & Flores, D.-L. (2012). Towards A Multi-Dimensional Modelling Of Complex Social Systems Using Data Mining And Type-2 Neuro-Fuzzy System: Religious Affiliation Case Of Study. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 136-142). European Council for Modeling and Simulation. doi:10.7148/2012-0136-0142

DOI:

http://dx.doi.org/10.7148/2012-0136-0142

Abstract:

The purpose of this paper is, to describe a work-in pro- cess for application of distributed agency methodology to multi-dimensional preference model into a complex social system. This paper shows a study case focused on a modeling system for decision-making on cognitive structure religious affiliation preference. A type-2 neuro- fuzzy approach is used to configure cognitive rules into an agent to build a multi-agent model for social simula- tion.

Full text: