Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Comparison and data analysis to the similarity measures and entropy for fuzzy sets are studied. The distance proportional value between the fuzzy set and the corresponding crisp se...
-- Relationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compare...
Bulent Tutmez, A. Erhan Tercan, Uzay Kaymak, Chris...
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
In this paper a vitality analysis of fuzzy system, represented by fuzzy graph is considered. A division of fuzzy graph into components by graph edge removing is used as destructio...