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  • 1995-1999  (3)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of intelligent information systems 4 (1995), S. 281-304 
    ISSN: 1573-7675
    Keywords: relational database ; mass assignments ; fuzzy sets ; uncertainty
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper describes a database framework which is similar to a relational database in style but uses alternative knowledge structures to represent uncertain data. Two knowledge structures are used, the mass assignment to represent probabilistic information and fuzzy sets to hold subjective information. We describe how the query is modified such that the selection criteria is held in the form of specific knowledge which can be updated with the more general knowledge held in the database. The updating procedure has the effect of filling in uncertain or missing information such that a final solution can be found. The operations required to perform a query are generated automatically, optimisation is performed as the operations are determined. The output from the database is in the form of a distribution over a projection of the database domain space. An example is given where a database of sea vessels can be given uncertain or noisy evidence about the characteristics of a vessel and a distribution of the likelihood of each of the vessels can be determined from the evidence.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    BT technology journal 16 (1998), S. 156-164 
    ISSN: 1573-1995
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Facial expressions are an important source of information for human interaction. Therefore, it would be desirable if computers were able to use this information to interact more naturally with the user. However, facial expressions are not always unambiguously interpreted even by competent humans. Consequently, soft computing techniques in which interpretations are given some belief value would seem appropriate. This paper describes how the mass assignment approach to constructing fuzzy sets from probability distributions has been applied to the low-level classification of pixels into facial feature classes based on their colour. It will also describe how similar approaches can be used for the analysis of facial expressions themselves.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    BT technology journal 16 (1998), S. 165-179 
    ISSN: 1573-1995
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Knowledge-based systems are founded on the idea that knowledge should be declarative, so that it can be easily read, understood, and altered by a human user as well as by a machine. Logic fulfils these criteria, and logic programming has been widely used for implementing knowledge-based systems. One major shortcoming of logic programming is the lack of a mechanism to deal with the uncertainty inherent in many knowledge-based systems. Soft computing is a key technology for the management of uncertainty, although so far its major successes have been centred on fuzzy control rather than higher level information management. This paper outlines some of the issues related to the area of soft computing in knowledge-based systems, and suggests some simple problems to test the capabilities of software. Fril is discussed as an implementation language for knowledge-based systems involving uncertainty, and some of its applications are outlined.
    Type of Medium: Electronic Resource
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