Fuzzy sets emerged in 1965 in a paper by Lotfi Zadeh. In 1969 Ruspini published a seminal
paper that has become the basis of most fuzzy clustering algorithms. His ideas established …

Describing non-parametric and parametric theoretic classification and the training of
discriminant functions, this second edition includes new and expanded sections on neural …

This paper addresses three major issues associated with conventional partitional clustering,
namely, sensitivity to initialization, difficulty in determining the number of clusters, and …

Проблема принятия решений в условиях неопределенности занимает важное место в
общей проблеме принятия решений. Успешное решение данной проблемы в …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

Fuzzy set theory-and its underlying fuzzy logic-represents one of the most significant
scientific and cultural paradigms to emerge in the last half-century. Its theoretical and …

Dieses Buch ist das Standardwerk zu einem neuen Bereich der angewandten Fuzzy-
Technologie, der Fuzzy-Clusteranalyse. Diese beinhaltet Verfahren der Mustererkennung …

Semi-supervised (or partial) fuzzy clustering plays an important and unique role in
discovering hidden structure in data realized in presence of a certain quite limited fraction of …

We introduce an efficient synchronization model that organizes a population of integrate-and-
fire oscillators into stable and structured groups. Each oscillator fires synchronously with all …

This paper presents a dynamic customer group-based logistics resource allocation
methodology for the use of demand-responsive city logistics distribution operations. The …