Fuzzy Composite Concepts based on human reasoning

Fuzzy Logic Systems (FLSs) provide a proven toolset in mimicking human reasoning. In this paper, we will present the idea of Fuzzy Composite Concepts (FCCs) which allow for a closer imitation of human reasoning in terms of integrating a large number of parameters into a single concept suitable for higher level reasoning. FCCs are based on standard FLSs and transparently extend them to provide intuitively interpretable rule bases and improve resilience and reusability of the overall FLS. We are providing an overview of the philosophical concepts behind FCCs and discuss their applicability. We describe the implementation of FCCs and demonstrate their benefits using real world examples based on our work in Ambient Intelligent Environments.