Membrane proteins are vital mediating molecules responsible for the interaction of a cell
with its surroundings. These proteins are involved in different functionalities such as ferrying …

Current trends in clinical applications demand automation in electrocardiogram (ECG)
signal processing and heart beat classification. This paper examines the design of an …

In recent years, many nearest neighbor algorithms based on fuzzy sets theory have been
developed. These methods form a field, known as fuzzy nearest neighbor classification …

In recent years, different higher order fuzzy sets have been introduced to better handle the
uncertainty in many practical decision making and data mining problems. The recent …

The fuzzy k-nearest neighbor (FKNN) algorithm, one of the most well-known and effective
supervised learning techniques, has often been used in data classification problems but …

One of the most known and effective methods in supervised classification is the k-nearest
neighbors classifier. Several approaches have been proposed to enhance its precision, with …

In this paper we propose a k-nearest neighbors (kNN) classifier optimized by P systems,
called kNN-P, which can improve the performance of the original kNN classifier. AP system …

The fuzzy concept serves as a crucial tool for describing phenomena and constitutes the
fundamental unit of human cognition. Fuzzy concepts are characterized by their extent and …

The Electrocardiogram (ECG) signal provides a useful non-interventional method for
identifying cardiac arrhythmias. In this paper, we look at automatic ECG beat classification …

Feature selection is quite an important process in gene expression data analysis. Feature
selection methods discard unimportant genes from several thousands of genes for finding …