TOWARDS A MULTI-DIMENSIONAL MODELLING OF COMPLEX SOCIAL SYSTEMS USING DATA MINING AND TYPE-2 NEURO-FUZZY SYSTEM: RELIGIOUS AFFILIATION CASE OF STUDY

摘要

The purpose of this paper is, to describe a work-in process 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 neurofuzzy approach is used to configure cognitive rules into an agent to build a multi-agent model for social simulation.