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Article

Assessing Ambiguity of Context Data in Intelligent Environments: Towards a More Reliable Context Managing System

Deusto Institute of Technology (DeustoTech), University of Deusto, 48007 Bilbao, Spain
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Sensors 2012, 12(4), 4934-4951; https://doi.org/10.3390/s120404934
Received: 22 February 2012 / Revised: 3 April 2012 / Accepted: 6 April 2012 / Published: 17 April 2012
Modeling and managing correctly the user context in Smart Environments is important to achieve robust and reliable systems. When modeling reality we must take into account its ambiguous nature. Considering the uncertainty and vagueness in context data information it is possible to attain a more precise picture of the environment, thus leading to a more accurate inference process. To achieve these goals we present an ontology that models the ambiguity in intelligent environments and a data fusion and inference process that takes advantage of that extra information to provide better results. Our system can assess the certainty of the captured measurements, discarding the unreliable ones and combining the rest into a unified vision of the current user context. It also models the vagueness of the system, combining it with the uncertainty to obtain a richer inference process. View Full-Text
Keywords: fuzzy logic; uncertainty; vagueness; context-aware; data fusion; inference fuzzy logic; uncertainty; vagueness; context-aware; data fusion; inference
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MDPI and ACS Style

Almeida, A.; López-de-Ipiña, D. Assessing Ambiguity of Context Data in Intelligent Environments: Towards a More Reliable Context Managing System. Sensors 2012, 12, 4934-4951. https://doi.org/10.3390/s120404934

AMA Style

Almeida A, López-de-Ipiña D. Assessing Ambiguity of Context Data in Intelligent Environments: Towards a More Reliable Context Managing System. Sensors. 2012; 12(4):4934-4951. https://doi.org/10.3390/s120404934

Chicago/Turabian Style

Almeida, Aitor, and Diego López-de-Ipiña. 2012. "Assessing Ambiguity of Context Data in Intelligent Environments: Towards a More Reliable Context Managing System" Sensors 12, no. 4: 4934-4951. https://doi.org/10.3390/s120404934

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