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  4. Strongly selfguessing fuzzy classifiers

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Strongly selfguessing fuzzy classifiers
Volume 6, Issue 1 (1995), pp. 85–92
Sergey Vatlin  

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https://doi.org/10.3233/INF-1995-6106
Pub. online: 1 January 1995      Type: Research Article     

Published
1 January 1995

Abstract

The problem of construction of the fuzzy classification models (fuzzy classifiers) with high generalization ability is discussed. The strong self guessing property of fuzzy classificational models is introduced and examined. It is proved that this characteristic doesn't form a full system of restrictions, i.e., for the unambiguous detection of the most valid fuzzy classifier (among the set of fuzzy classifiers agreed with arbitrary learning set) it is necessary to use additional “regularizing” restrictions.

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Keywords
fuzzy classifier learning set strongly selfguessing fuzzy classifier generalized training sequence generalized expansion of learning set full system of restrictions

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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