6 found
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  1.  17
    The transferable belief model.Philippe Smets & Robert Kennes - 1994 - Artificial Intelligence 66 (2):191-234.
  2.  13
    Belief functions and default reasoning.Salem Benferhat, Alessandro Saffiotti & Philippe Smets - 2000 - Artificial Intelligence 122 (1--2):1--69.
  3.  57
    Non-standard logics for automated reasoning.Philippe Smets (ed.) - 1988 - San Diego: Academic Press.
    Although there are a few books available that give brief surveys of a variety of nonstandard logics, there is a growing need for a critical presentation providing both a greater depth and breadth of insight into these logics. This book assembles a wider and deeper view of the many potentially applicable logics. Three appendixes provide short tutorials on classical logic and modal logics, and give a brief introduction to the existing literature on the logical aspects of probability theory. These tutorials (...)
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  4.  19
    Fast algorithms for Dempster-Shafer theory.Robert Kennes & Philippe Smets - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 14--23.
  5.  18
    Probability of provability and belief functions.Philippe Smets - 1991 - Logique Et Analyse 133 (134):177-195.
  6. Theories of uncertainty.Philippe Smets - 1998 - In Enrique H. Ruspini, Piero Patrone Bonissone & Witold Pedrycz (eds.), Handbook of Fuzzy Computation. Institute of Physics.
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