Possibilistic Information Fusion Using Maximal Coherent Subsets

Didier Dubois, Sebastien Destercke, Eric Chojnacki

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tedious problem, especially when sources are conicting. In this paper, we propose to use possibility theory and the notion of maximal coherent subsets, often used in logic-based representations, to build a fuzzy belief structure that will be instrumental both for extracting useful information about various features of the information conveyed by the sources and for compressing this information into a unique possibility distribution. Extensions and properties of the basic fusion rule are also studied.
Original languageEnglish
Pages (from-to)79-92
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Issue number1
Publication statusPublished - Feb 2009

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Applied Mathematics


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