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

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ID: 111515
2012
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Abstract
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.
Reference Key
almeida2012sensorsassessing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aitor Almeida;Diego López-de-Ipiña;Almeida, Aitor;López-de-Ipiña, Diego;
Journal sensors
Year 2012
DOI
10.3390/s120404934
URL
https://doi.org/10.3390/s120404934
Keywords
Fuzzy logic uncertainty data fusion inference vagueness context-aware

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