Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31224
Title: Context reasoning using extended evidence theory in pervasive computing environments
Authors: Zhang, D
Guo, M
Zhou, J
Kang, D
Cao, J 
Keywords: Context reasoning
Evidence theory
Pervasive computing
Issue Date: 2010
Publisher: Elsevier
Source: Future generation computer systems, 2010, v. 26, no. 2, p. 207-216 How to cite?
Journal: Future generation computer systems 
Abstract: Most existing context reasoning approaches implicitly assume that contexts are precise and complete. This assumption cannot be held in pervasive computing environments, where contexts are often imprecise and incomplete due to unreliable connectivity, user mobility and resource constraints. To this end, we propose an approach called CRET: Context Reasoning using extended Evidence Theory. CRET applies the evidence theory to context reasoning in pervasive computing environments. Because evidence theory is limited by two fundamental problems-computation-intensiveness and Zadeh paradox, CRET presents evidence selection and conflict resolution strategies. Empirical study shows that CRET is desirable for pervasive applications.
URI: http://hdl.handle.net/10397/31224
ISSN: 0167-739X
EISSN: 1872-7115
DOI: 10.1016/j.future.2009.08.005
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