Probabilistic and Fuzzy Object-Oriented Modelling and Programming in FRIL++

From: Tru Cao (tru_cao@yahoo.com)
Date: Wed Sep 19 2001 - 10:10:41 MET DST

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    Berkeley Initiative in Soft Computing (BISC)
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    BISC Seminar

    Probabilistic and Fuzzy Object-Oriented Modelling and
    Programming in FRIL++

    Tru Cao
    BISC Visiting Scholar
    http://www.enm.bris.ac.uk/ai/enthc

    September 20, 2001
    373 Soda Hall
    4:00-5:00 pm

    Abstract:

    It is witnessed that object orientation has been a
    very useful methodology for modelling real-world
    problems and constructing large-scale software. In the
    classical object-oriented model, each object is "to be
    or not to be" a member of a class, and each property
    of a class is totally applicable to its objects.
    However, in the real world, it is often that both such
    membership and applicability are the matter of
    degrees, in particular ones of uncertainty. Moreover,
    not as in the classical object-oriented model,
    properties of objects in the real world may have
    imprecise values.

    We introduce a logic-based probabilistic and fuzzy
    object-oriented model, and propose probabilistic
    default reasoning on fuzzy events for uncertain
    property inheritance and class recognition. Our
    choice of the logic-based model instead of the
    procedure-based one is to have logical grounds for
    justifying the approach. The results however can be
    applied to development of general object-oriented
    systems involving uncertainty and imprecision. In
    particular, it provides a formal basis for the design
    and implementation of FRIL++, the object-oriented
    extension of FRIL, a logic programming language
    dealing with both probability and fuzziness. We
    present the key features of FRIL++ and its
    applications to user modelling and machine learning.

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