Search
1996 Volume 11
Article Contents
REVIEW   Open Access    

More Information
  • 加载中
  • Benferhat S, Dubois D and Prade H, 1992. “Representing default rules in possibilistic logic” In: Proc. of the 3rd Inter. Conf. on Principles of knowledge Representation and Reasoning (KR'92), 673–684, Cambridge, MA, 10 26–29.

    Google Scholar

    De Finetti B, 1936. “La logique de la probabilite” Actes du Congrès Inter. de Philosophie Scientifique, Paris. (Hermann et Cie Editions, 1936, IVI–1V9).

    Google Scholar

    Driankov D, Hellendoorn H and Reinfrank M, 1995. An Introduction to Fuzzy Control, Springer-Verlag.

    Google Scholar

    Dubois D and Prade H, 1988. “An introduction to possibilistic and fuzzy logics” In: Non-Standard Logics for Automated Reasoning (Smets P, Mamdani A, Dubois D and Prade H, editors), 287–315, Academic Press.

    Google Scholar

    Dubois D and Prade H, 1994. “Can we enforce full compositionality in uncertainty calculi?’ In: Proc. 12th US National Conf. On Artificial Intelligence (AAAI94), 149–154, Seattle, WA.

    Google Scholar

    Elkan C, 1994. “The paradoxical success of fuzzy logic” IEEE Expert08, 3–8.

    Google Scholar

    Lehmann D and Magidor M, 1992. “What does a conditional knowledge base entail?” Artificial Intelligence55 (1) 1–60.

    Google Scholar

    Maung I, 1995. “Two characterizations of a minimum-information principle in possibilistic reasoning” Int. J. of Approximate Reasoning12133–156.

    Google Scholar

    Pearl J, 1990. “System Z: A natural ordering of defaults with tractable applications to default reasoning” Proc. of the 2nd Conf. on Theoretical Aspects of Reasoning about Knowledge (TARK'90)121–135, San Francisco, CA, Morgan Karfman.

    Google Scholar

    Shoham Y, 1988. Reasoning about ChangeMIT Press.

    Google Scholar

    Smets P, 1988. “Belief functions” In: Non-Standard Logics for Automated Reasoning (Smets P, Mamdani A, Dubois D and Prade H, editors), 253–286, Academic Press.

    Google Scholar

    Smets P, 1990a. “The combination of evidence in the transferable belief model” IEEE Trans. on Pattern Anal. Mach. Intell. 12447–458.

    Google Scholar

    Smets P, 1990b. “Constructing the pignistic probability function in a context of uncertainty” Un certainty in Artificial Intelligence 5 (Henrion M, editors), 29–40, North-Holland.

    Google Scholar

    Smets P, 1995. “Quantifying beliefs by belief functions: An axiomatic justification” In: Proc of the 13th Inter. Joint Conf. on Artificial Intelligence (IJACI'93), 598–603, Chambéy, France, 08 28–09 3.

    Google Scholar

    Smets P and Kennes R, 1994. “The transferable belief model” Artificial Intelligence66191–234.

    Google Scholar

  • Cite this article

Article Metrics

Article views(19) PDF downloads(7)

Other Articles By Authors

REVIEW   Open Access    

The Knowledge Engineering Review  11 Article number: 10.1017/S0269888900007712  (1996)  |  Cite this article
    • Copyright © Cambridge University Press 19961996Cambridge University Press
References (15)
  • About this article
    Cite this article
  • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return