Context reasoning using extended evidence theory in pervasive computing environments

Daqiang Zhang, Minyi Guo, Jingyu Zhou, Dazhou Kang, Jiannong Cao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

37 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)207-216
Number of pages10
JournalFuture Generation Computer Systems
Issue number2
Publication statusPublished - 1 Feb 2010


  • Context reasoning
  • Evidence theory
  • Pervasive computing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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