Decision Making (DM) is regarded as the cognitive process used to solve problems that we face in our daily life. Due to the complexity of the current socio-economic environment, DM is one of the most prominent endeavours, whose aim is to get an optimal or at least satisfactory solution by identifying and choosing alternatives.

DM becomes more complicated when uncertainty is involved. Although to handle uncertainty, Zadeh’s fuzzy set is a good tool, but as time passes it is observed that it is insufficient. To overcome the problems thus occurred, intuitionistic fuzzy sets (IFS) have proved their effectiveness. In order to handle the information provided without loss and to end up with the optimal alternative, that is, the desirable result in DM process, aggregation operators such as fuzzy weighted arithmetic average operators based on the concepts of t-norm, Einstein operations, and copula are used. In recent years there have appeared many generalizations of IFSs, like Pythagorean fuzzy sets, q-rung orthopair fuzzy sets, picture fuzzy sets, spherical fuzzy sets, T-spherical fuzzy sets, neutrosophic sets, and dual hesitant fuzzy sets.

This Special Issue invites original research papers that report on recent developments in DM in social sciences, computer sciences, biosciences, information sciences, and related fields based on intuitionistic fuzzy sets and their generalizations (IFSGs). We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Multi-attribute decision making based on IFSGs
• Multi-objective optimization based on IFGs
• Group decision making based on IFSGs
• Artificial intelligence and decision making based on IFSGs
• Decision Making and knowledge management based on IFSGs
• Expert systems with IFSGs
• Decision Making and robotics based on IFSGs
• Decision Making in information technology based on IFSGs
• Decision Making and graphs algorithms for IFSGs
• Decision Making and modelling based on IFSGs
• Decision Making on datasets of IFSGs