FUZZY PATTERN MATCHING

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書誌事項

公開日
1982-02-01
権利情報
  • https://www.emerald.com/insight/site-policies
DOI
  • 10.1108/eb005612
公開者
Emerald

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説明

<jats:p>Pattern‐directed inference systems (P.D.I.S.) are among the most largely used tools in <jats:italic>A.I.</jats:italic> to‐day in order to represent and exploit knowledge. Generally, P.D.I.S.'s use production rules triggered by matching between rule patterns and elements of the data base. However, the lack of flexibility in the matching remains a drawback in this kind of system. In the framework of the communication in natural language with robots, approximate descriptions of real world situations and approximately specified rules are needed; furthermore, similarity in the matching process does not always need to be perfect. Thus, the pervading fuzziness of natural language can be taken into account. The following levels, belonging to the real interval [0,1], are evaluated: The possibility of similarity between referents designated in the data and in the pattern respectively; the necessity that a referent designated in the data is similar to a referent designated in the pattern. Designations are fuzzy when the pattern or the data are fuzzy, which is usual with words of a natural language.</jats:p>

収録刊行物

  • Kybernetes

    Kybernetes 11 (2), 103-116, 1982-02-01

    Emerald

被引用文献 (1)*注記

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