Development of Type 2 fuzzy rough ontology-based middleware for context processing in ambient smart environment

There is currently lot of work in ambient intelligence particularly in context awareness. Context awareness enables service discovery and adaptation of computing devices for ambient intelligence application. There is a common agreement of the fact that context-aware systems should be responsive to multiagents, covering a large number of devices, assisting a large number of people and serving a large number of purposes. In an attempt to achieve such context-aware systems with scalable scenario implementations, we propose an adaptive and autonomous context-aware middleware for multi-agents with Type 2 fuzzy rough context ontology. Our model provides a meta-model for context description that includes context collection, context processing and applications reactions to significant context changes. © 2015, Springer India.