Fuzzy systems are considered a revolutionary approach in our perspective on problem-solving. Prior to the introduction of fuzzy systems, it was practically impossible to incorporate human knowledge into computations and modeling of nonlinear problems based on the human brain’s inferential approach. The distinct features of a fuzzy system include the lack of a need for a database and the ability to define a set of rules to solve a problem. This approach has been widely applicable across all sciences and has demonstrated performance that has been recognized with over fifty honorary doctorates (during their lifetime) for its Iranian-Azerbaijani creator, Professor Lotfi Aliaskerzadeh. This educational collection focuses on fuzzy systems. Accordingly, the structural details, modeling approach, and specific elements of fuzzy systems are explained. Alongside problem-solving, the definition of a fuzzy system using optimization algorithms is also presented. After completing this course, you will be capable of implementing your problem based on the presented technique and writing your articles accordingly.