The complexity of biological systems, unlike physical science applications, makes the
development of computerised systems for medicine not a straightforward algorithmic …

Intelligent systems have appeared in many technical areas, such as consumer electronics,
robotics and industrial control systems. Many of these intelligent systems are based on fuzzy …

Fuzzy pharmacology is a term coined to represent the application of fuzzy logic and fuzzy set
theory to pharmacological problems. Fuzzy logic is the science of reasoning, thinking and …

Starting from the pioneering publication of Lotfi Zadeh in 1965 [55], fuzzy sets have been
applied to many fields in which uncertainty plays a key role. Medicine, often on the …

Задача математического моделирования внутреннего движения жидкости по системе
эластичных трубок имеет широкую область научного и практического применения, в …

Several mathematical formalisms can be exploited to model complex systems, in order to
capture different features of their dynamic behavior and leverage any available quantitative …

Due to the busy schedule of every human being in today's world, consciousness towards
one's health has become quite alarming. A person suffering from any chronic disease needs …

A new platform for the fuzzy inductive reasoning (FIR) methodology has been designed and
developed under the MATLAB environment. The new tool, named Visual-FIR, allows the …

In several application areas like banking, insurance, medicine, education, business, to name
just a few, there are huge, sometimes unstructured data collections, and there is a need to …

The prediction of ozone levels is an important task because this toxic gas can produce
harmful effects to the population health especially of children. This article describes the …