Strongly selfguessing fuzzy classifiers
Volume 6, Issue 1 (1995), pp. 85–92
Pub. online: 1 January 1995
Type: Research Article
Published
1 January 1995
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.