• DocumentCode
    2448648
  • Title

    Qualitative belief conditioning rules (QBCR)

  • Author

    Smarandache, Florentin ; Dezert, Jean

  • Author_Institution
    Univ. of New Mexico, Gallup
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we extend the new family of (quantitative) belief conditioning rules (BCR) recently developed in the Dezert-Smarandache theory (DSmT) to their qualitative counterpart for belief revision. Since the revision of quantitative as well as qualitative belief assignment given the occurrence of a new event (the conditioning constraint) can be done in many possible ways, we present here only what we consider as the most appealing qualitative belief conditioning rules (QBCR) which allow to revise the belief directly with words and linguistic labels and thus avoids the introduction of ad-hoc translations of quantitative beliefs into quantitative ones for solving the problem.
  • Keywords
    belief maintenance; computational linguistics; Dezert-Smarandache theory; ad-hoc translations; belief revision; conditioning constraint; linguistic labels; qualitative belief assignment; qualitative belief conditioning rules; Arithmetic; Expert systems; Humans; Hybrid power systems; Lattices; Mathematics; Natural languages; Robustness; Uncertainty; Dezert-Smarandache Theory (DSmT); belief conditioning rules (BCRs); computing with words; qualitative belief; reasoning under uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Conference_Location
    Quebec, Que.
  • Print_ISBN
    978-0-662-45804-3
  • Electronic_ISBN
    978-0-662-45804-3
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4407995
  • Filename
    4407995