Self-guessing fuzzy classifiers

Article type: Research Article

Authors: Vatlin, Sergey

Affiliations: Minsk Radioengineering Institute, 220060 Minsk, P.Brovka St. 6, Republic of Belarus

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.

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

DOI: 10.3233/INF-1993-43-413

Journal: Informatica, vol. 4, no. 3-4, pp. 406-413, 1993