Journal:Informatica
Volume 4, Issues 3-4 (1993), pp. 414–422
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. A concept of a stability measure of unsupervised fuzzy classifiers is introduced. A general scheme of computing the above measure is proposed. A concrete algorithm for implementing the general scheme and examples of its application are given.
Journal:Informatica
Volume 4, Issues 3-4 (1993), pp. 406–413
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.