Abstract

With the rapid expanding of Internet of Things, context-aware technology has become a research hotspot. At present, most of the context modeling technologies are based on ontology, however, due to the limitations of ontology, the ontology framework is very poor for the uncertainty reasoning. A few experiments have been introduced fuzzy theory into the context-aware, but the results are not satisfying and many problems are unsolved. In addition, previous studies process the context information uniformly without considering the specific characteristics of different types of context information. In this paper, we have designed FuzWare context-aware middleware, which offers a context-aware service based on fuzzy theory. In the middleware, the context information is divided into two parts according to the information sources. The result shows that FuzWare achieves good function expansion and attains accurate reasoning.

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