LAUSR

Numerical simulations and optimization activities are fundamental for daily engineering tasks. Therefore, these tools have become the core area of many fields related to intelligent activities such as structural and mechanical systems, artificial intelligence, smart manufacturing, and computational engineering problems. However, real-life problems usually involve different types of uncertainties implying complexity in the solving process. To overcome this issue, probabilistic models have been used but sometimes are not enough. Recently, research on uncertainty modeling is progressing rapidly and many essential and breakthrough studies have already been done. Fuzzy sets are the main tools to handle these uncertainties. Although this concept can handle incomplete information in various realworld issues, it cannot address all types of uncertainty such as indeterminate and inconsistent information. So, some extensions of fuzzy sets such as intuitionistic fuzzy set, picture fuzzy set, Pythagorean fuzzy set, spherical fuzzy set, neutrosophic set, plithogenic set, and their generalizations have been proposed. The objective of this special collection is to compile recent developments in methodologies, techniques, and applications of numerical simulations and optimization under uncertainty for various practical problems.