Computational models are not just appealing because they can simulate and predict the
development of biological phenomena across multiple spatial and temporal scales, but also …

Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications
related to computer science and engineering, given the capability of fuzzy inference systems …

The research on complex systems is different from that on general systems because the
former must consider self-organization, emergence, uncertainty, predetermination, and …

Fuzzy logic is useful tool to describe and represent biological or medical scenarios, where
often states and outcomes are not only completely true or completely false, but rather …

Living in the era of" data deluge" demands for an increase in the application and
development of machine learning methods, both in basic and applied research. Among …

Fuzzy decision trees (FDTs) is one of the considerably excellent methods. Most of the
existing FDTs' methods are oriented to classification tasks. Applying FDTs to regression …

This work proposes an efficient and promising method for linear and nonlinear dynamic
systems modeling. Unlike previous methods, we combine Fuzzy C-Means (FCM) and …

Motivation The elucidation of dysfunctional cellular processes that can induce the onset of a
disease is a challenging issue from both the experimental and computational perspectives …

With the change in coal supply and demand, the dynamics of multiple transit nodes and the
connection between different transportation modes make the Coal Multimodal …

Background Genome-wide reconstructions of metabolism opened the way to thorough
investigations of cell metabolism for health care and industrial purposes. However, the …