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    Using Possibility Theory in Expert Systems

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    FSS92.pdf (158.1Kb)
    Issue Date
    1992-12-10
    Author
    Shenoy, Prakash P.
    Publisher
    Elsevier Science Publishers B. V.
    Format
    161971 bytes
    Type
    Article
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    Abstract
    This paper has two main objectives. The first objective is to give a characterization of a qualitative description of a possibility function. A qualitative description of a possibility function is called a consistent possibilistic state. The qualitative description and its characterization serve as qualitative semantics for possibility functions. These semantics are useful in representing knowledge as possibility functions. The second objective is to describe how Zadeh’s theory of possibility fits in the frame-work of valuation-based systems (VBS). Since VBS serve as a framework for managing uncertainty and imprecision in expert systems, this facilitates the use of possibility theory in expert systems.
    URI
    http://hdl.handle.net/1808/189
    ISSN
    0165-0114
    Collections
    • School of Business Scholarly Works [212]
    • Distinguished Professors Scholarly Works [918]
    Citation
    Shenoy, P. P., "Using Possibility Theory in Expert Systems," Fuzzy Sets and Systems, Vol. 52, Issue 2, 10 Dec. 1992, pp. 129--142

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    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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