Applied Fuzzy Technological Systems (AFTS)

Fuzzy Systems have many and diverse applications: from facial pattern recognition to vacuum cleaners, and from optimizations of power systems to medical diagnosis and treatment plans. In short, Applied Fuzzy Technological Systems (AFTS) can translate the know-how of researchers into solutions to diverse everyday problems. The main goal of AFTS is to contribute to humanity’s collective well-being by mobilizing knowledge acquired through years of research in Fuzzy Systems. AFTS are supported by the technologies and theories of fuzzy logic, genetic algorithms, machine learning, and artificial intelligence to obtain a tangible and pragmatic application. Moreover, the development of AFTS, far from being just a straightforward use of theory, might show theory limits, the needs for generalization, or even a new way of thinking in the same way as experimental methods. Hence, inspired by real-world applications, many scientists can potentially raise new questions and propose new ideas to address fundamental problems.

This Article Collection solicits publications on applications of Fuzzy Systems in general areas where it is necessary to carry out a transfer of knowledge and technology. We particularly welcome papers on comprehensive systems in areas where this has not yet been achieved such as (but not limited to):

- Multispectral and Hyperspectral Image Processing
- Telematics Systems
- Communication Protocols
- Information Security
- Cryptography
- Cryptocurrency
- Blockchain
- Plastic and Metal Corrosion
- Artificial Intelligence in medicine
- Control systems
- Transportation systems
- Production systems
- Energy Management
- Healthcare
- Sustainability
- Smart cities

As mentioned, the description of a given application might be the starting point to show a plethora of scientific questions it raises. Hence, this Article Collection aims to also showcase applications as added-value facilitators.

Keywords: #appliedfuzzysystems, #fuzzylogic, #fuzzytheory, #machinelearning, #artificialintelligence

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.