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Self-guessing fuzzy classifiers
Volume 4, Issues 3-4 (1993), pp. 406–413
Sergey Vatlin  

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https://doi.org/10.3233/INF-1993-43-413
Pub. online: 1 January 1993      Type: Research Article     

Published
1 January 1993

Abstract

A possible interpretation, in terms of fuzzy classification models (fuzzy classifiers), of one of the general principles of choosing a scientific theory – a consistency principle – is considered. Supervised self-guessing fuzzy classifiers are determined. A theorem on character of restrictions induced on a set of supervised fuzzy classifiers by a self-guessing requirement is proved. Feasible alternatives of using the self-guessing property while constructing supervised fuzzy classifiers are analyzed.

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Keywords
supervised fuzzy classifier criterion of internal justification self-consistency principle self-guessing property learning set training sequence extension of learning set

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INFORMATICA

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