Abstract
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 multi-agents, 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.
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Karthick Anand Babu, A.B., Sivakumar, R. (2015). Development of Type 2 Fuzzy Rough Ontology-based Middleware for Context Processing in Ambient Smart Environment. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_15
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DOI: https://doi.org/10.1007/978-81-322-2268-2_15
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