In the complex world, uncertainty and fuzziness exist in many applications. Zadeh initially proposed the concept of fuzzy sets for capturing the uncertainty and fuzziness of information. Since its establishment, many extensions of fuzzy sets have been proposed for better expressing complex information, such as intuitionistic fuzzy sets, picture fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets. Many research results concerning their decision-making theories and methods have been obtained by researchers and scholars. However, there are few research results that report the applications of fuzzy sets and their extensions (FSTEs) in engineering.

This Special Issue calls for original and high-quality research papers that report the emerging applications of fuzzy sets and their extensions in engineering, such as control systems, AI, and IoT. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

IoT/cloud services ranking models based on FSTEs
Additive manufacturing process selection based on FSTEs
Medical decision making based on FSTEs
Controller network based on FSTEs
Transport systems based on FSTEs
Failure mode and effect analysis based on FSTEs