Advanced Fuzzy Cognitive Maps Modelling a Nearly Zero Energy Building

Abstract

Fuzzy Cognitive Maps (FCM) are developed in recent decades in order to model complex systems, combining Fuzzy Logic and Neural Networks. They have been used in various systems and applications and they have been combined with learning algorithms and experts’ knowledge. This paper presents new equations for the concept values calculation and uses the state-space approach in FCMs, separating the concepts as inputs, states and outputs. All the above are applied on a FCM, modelling a Nearly Zero Energy Building (nZEB), creating a strong base for further improvement and research.