Fuzzy systems are used in modeling and implementation of many real-world applications
operating under an imprecise and uncertain environment. Such systems have effective …

Big Data are a paradigm through which valuable information is achieved through the
analysis of a large amount of data. The sources of these data can be varied, from data …

In recent years, human pathogenic microorganisms have developed resistance in response
to the indiscriminate use of commercial antimicrobial drugs commonly employed in the …

This review paper of fuzzy classifiers with improved interpretability and accuracy parameter
discussed the most fundamental aspect of very effective and powerful tools in form of …

Natural phenomena are intrinsically spatiotemporal and often highly dynamic. The
increasing availability of simulation and observation datasets has provided us a great …

Rainfall prediction is vitally important in the agricultural, hydrological, and meteorological
sectors. Correct rainfall prediction is becoming more difficult with the increasing impact of …

Over recent years, numerous disease risk prediction models were introduced, which used
diverse patient characteristics for estimating the outcomes for specific period of time and to …

In real applications, information is often imprecise and vague. Exact information has become
an essential part of modern database applications for making next generation information …

Large-scale analysis of data requires a significant amount of computing power and
resources, so the vast and flexible interpreting, preservation, and remote servers that cloud …

Rainfall prediction is important because it is an influential meteorological parameter that can
directly affect human life. Heavy or unpredicted rainfall can lead to many disasters like …