An alternative method for inducing a membership function of a category

نویسندگان

  • Hiroshi Narazaki
  • Anca L. Ralescu
چکیده

We propose an alternative learning method for category classification knowledge. Our method induces a membership function for a category from positive and negative examples. It can learn "topological knowledge" such as typicality of an example. Our method consists of two stages: example space configuration of a coordinate system in the first stage, induction of membership function that induces a membership function based on the distance in the newly configured example space in the second. Further, we investigate search strategies suitable for deriving the symbolic expression of a category by geometric analysis of the example space. K E Y W O R D S : Concept learning, machine learning, induction, classification knowledge, membership function, knowledge acquisition

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عنوان ژورنال:
  • Int. J. Approx. Reasoning

دوره 11  شماره 

صفحات  -

تاریخ انتشار 1994