Neuro-fuzzy systems have received considerable attention from academia in the last
decade. They can provide a tradeoff between the performance of artificial neural networks …

A DDoS attack is the most prevalent threat, viz., flooding the computing and communication
resources in order to make the service unavailable for legitimate users, since a decade and …

This article provides the performance evaluation of the Silhouette index, which is based on
the so called silhouette width. However, the index can be calculated in two ways, and so, the …

During the processing and planting of soybeans, it is greatly significant that a reliable, rapid,
and accurate technique is used to detect soybean varieties. Traditional chemical analysis …

Diabetes is a type of disease in which the body fails to regulate the amount of glucose
necessary for the body. It does not allow the body to produce or properly use insulin …

Identity verification based on the dynamic signature is an important issue of biometrics.
There are many effective methods to the signature verification which take into account the …

The basic nearest neighbour algorithm has been designed to work with complete data
vectors. Moreover, it is assumed that each reference sample as well as classified sample …

In this paper a new method for designing neuro-fuzzy systems for nonlinear modelling is
proposed. This method contains a complex weighted fitness function with interpretability …

Identity verification based on the dynamic signatures is commonly known issue of
biometrics. This process is usually done using methods belonging to one of three …

In this paper, fuzzy rough sets are introduced as a new solution to the problem of handling
imprecise input information in classification tasks. The proposed method is shown as an …