|
|
|
|
|
Yiming Tang, Rui Chen and Bowen Xia
Nowadays, most fuzzy clustering algorithms are sensitive to the initialization results of clustering algorithms and have a weak ability to handle high-dimensional data. To solve these problems, we developed the viewpoint-driven subspace fuzzy c-means (VS...
ver más
|
|
|
|
|
|
|
|
|
Przemyslaw Ilczuk and Magdalena Kycko
Risk assessment in the design of control command and signaling devices (CCS) is one of the elements required by law. These analyses should be carried out at many stages of investment with the participation of various teams. This article presents a risk a...
ver más
|
|
|
|
|
|
|
|
|
Túlio S. Almeida, Amanda dos Santos Mendes, Paloma M. S. Rocha Rizol and Marcela A. G. Machado
Statistical process control (SPC) is one of the most powerful techniques for improving quality, as it is able to detect special causes of problems in processes, products and services with a remarkable degree of accuracy. Among SPC tools, X¯" rol...
ver más
|
|
|
|
|
|
|
|
|
Cinthia Peraza, Patricia Ochoa, Oscar Castillo and Patricia Melin
The challenges we face in today?s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits. However, the complexity of these models often leads to higher computational costs. There...
ver más
|
|
|
|
|
|
|
|
|
Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
ver más
|
|
|
|