The paper is devoted to fault diagnosis problems using fuzzy decision making. We investigate dynamic diagnostic systems which can be represented by symptom-fault rule bases. The m...
Oleksandr Sokolov, Michael Wagenknecht, Ulrike Goc...
The purpose of this paper is to study the problem of pattern classification as this is presented in the context of data mining. Among the various approaches we focus on the use of ...
Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanak...
We argue that fuzzy equivalences, and in particular fuzzy equalities, in general are not suitable to model approximate equality due to the notion of transitivity. Using them for t...
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...