After probability theory, fuzzy set theory and evidence theory, rough set theory is a new
mathematical tool for dealing with vague, imprecise, inconsistent and uncertain knowledge …

The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …

With the rapid increase in the world's population, the global electricity demand has
increased drastically. Therefore, it is required to adopt efficient energy management …

The global demand for electricity has visualized high growth with the rapid growth in
population and economy. It thus becomes necessary to efficiently distribute electricity to …

Feature selection by removing redundant and noisy features is one of the crucial steps in the
classification problem. This paper presents a novel chaotic-based divide-and-conquer …

Electrocardiogram (ECG) is a P, QRS and T wave demonstrating the electrical activity of the
heart. Feature extraction and segmentation in ECG plays a significant role in diagnosing …

Diagnosis, being the first step in medical practice, is very crucial for clinical decision making.
This paper investigates state-of-the-art computational intelligence (CI) techniques applied in …

In the medical field, image segmentation provides important information for surgical
planning and registration, and thus demands accurate segmentation. In order to improve the …

This paper presents rough netrosophic multiattribute decision making based on grey
relational analysis. While the concept of neutrosophic sets is a powerful logic to deal with …

Accurate classification of Alzheimer's Disease (AD) and its prodromal stage, ie, mild
cognitive impairment (MCI) are critical for the effective treatment of AD. However, compared …