Applications of Fuzzy System and Deep Learning with Advanced IoT Technologies

Submission Deadline: 08 March 2024 Submit to Special Issue

Guest Editors

Dr. Seongsoo Cho, Kwangwoon University, South Korea.
Dr. Emad Alsusa, University of Manchester, Manchester, UK.
Dr. Gyanendra Prasad Joshi, Sejong University, South Korea.


The application for fuzzy inference has spread into multidiscipline areas such as engineering, management, medicine, etc. They are applied for fuzzy clustering in image processing, classification, regression, decision making, fuzzy control to map expert knowledge to control systems, fuzzy modeling to combine expert knowledge, fuzzy optimization to solve development problems, etc. One of the advantages of fuzzy systems is their capability to handle numeric and linguistic data in the same framework. Additionally, fuzzy systems provide a flexible method of combining multiple conflicting, cooperating, and collaborating knowledge.

Combining those characteristics of fuzzy systems with the features of artificial intelligence allows us to represent the knowledge of experts acquired through the learning process into multiple composite smart systems. Those smart systems have opened up a new way of thinking, research, development, and application together with other technologies.

This special issue will address some evolving research about the design, development, and application of fuzzy systems. Thus, this special issue will highlight novel, practical, and high-quality research articles regarding them. Particularly, it will emphasize on methods and approaches of design, development and application of fuzzy systems, hybrid fuzzy systems, artificial intelligence and fuzzy systems.

Main application areas include, but are not limited to: business and finance, 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, etc.


Hybrid fuzzy systems
Artificial intelligence and fuzzy systems
Business and finance
Intelligent systems
Sustainable development
Socio cyber-physical systems
Environmental engineering
Smart cities
Business process automation
Manufacturing systems
Methods and approaches of design
Development and application of fuzzy systems

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