Artificial Intelligence and Fuzzy Systems

Topic Information

Dear Colleagues,

Artificial intelligence (AI) includes the theory and development of computer systems that are able to perform tasks that require human intelligence, such as problem solving, reasoning, planning, natural language understanding, computer vision, automatic programming, and machine learning, among others. It is increasingly present today. The large amount of information that is currently stored requires specialized techniques for automation, precision, and speed in data analysis. More and more organizations are interested in applying it to improve the effectiveness and efficiency of their business processes.

Indeed, fuzzy systems cover all aspects of the theory and applications of fuzzy sets and systems in addition to their hybridizations with other artificial and computational intelligence techniques. These techniques are becoming more and more relevant because they allow a transparent description of knowledge in terms of linguistic rules. In many real-world applications, fuzzy systems realize precise systems that introduce high interpretability.

This Topic, “Artificial Intelligence and Fuzzy Systems”, invites papers on theoretical and applied issues, including, but not limited to, the following:

Big data, data engineering, and data analytics.
Artificial intelligence, machine learning, and cognitive computing.
Data mining, information retrieval, and business intelligence.
Artificial intelligence in business, robotics, healthcare, or multimedia technology.
Artificial neural networks and deep learning.
Ethics of artificial intelligence.
Explainable artificial intelligence.
Interpretable and interactive approaches to uncertainty in AI.
Fuzzy databases and informational retrieval.
Theory and applications of fuzzy logic and probabilistic approaches.
Fuzzy decision analysis, multicriteria decision making and decision support.
Interdisciplinary field of fuzzy logic and data mining.