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 ...

A neurofuzzy system is proposed for short-term electric load forecasting. The fuzzy rule base of ReNFuzz-LF consists rules with dynamic consequent parts that are small-scale recurrent neural networks one hidden layer, whose neurons have local output feedback. particular representation maintains the learning nature typical static model, since can be considered as subsystems operating at subspace...

In this paper, a new PI observer of flux of induction motor is proposed. In the conventional PI observer, the PI correctors make the correction of estimation errors of stator currents of induction motor. In the proposed PI observer, we replace the two PI correctors of the structure of the PI observer by two adaptive neuro-fuzzy correctors. The aim is to enhance the robustness of correction of e...