Applications of Fuzzy Systems and Fuzzy Decision Making

Dear Colleagues,

Over the years, significant developments have been made in fuzzy systems. Fuzzy logic can be applied in areas such as fuzzy clustering in image processing, classification, regression, and decision making; fuzzy control to map expert knowledge to control systems; fuzzy modeling to combine expert knowledge; and fuzzy optimization to solve development problems.

An advanced fuzzy system is a flexible method of combining multiple conflicting, cooperative, and collaborative sets of knowledge. Combined with the features of artificial intelligence and decision-making systems, a number of studies have focused on the many applications of of fuzzy decision making. Those intelligent systems, together with other technologies, have opened up a new way of thinking, as well as new approaches to research, development, and application.

This Special Issue aims to present the latest results on advances in fuzzy sets, fuzzy systems, decision making, and related applications.

The main areas include, but are not limited to, intelligent systems, sustainable development, socio–cyber–physical systems, e-administration, environmental engineering, smart cities, healthcare, security, visualization, business process automation, manufacturing systems, logistics, telecommunication, infrastructure, and transportation.

Prof. Dr. Diana Kalibatiene
Guest Editor

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