Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems
IEEE Transactions on Fuzzy Systems · 2020
The papers in this special issue focus on nature-inspired optimization methods in fuzzy systems. These methods which are very often used to solve complex optimization problems that cannot be efficiently solved by traditional optimization algorithms. Optimization of fuzzy systems is also a complex optimization task involving continuous, integer, and combinatorial problems. For example, selection of input attributes of the fuzzy system, design of fuzzy system structure, selection of membership functions, and selection of inference operators can be seen as combinatorial optimization problems, whereas selection of the parameters in membership functions and fuzzy rules are continuous optimization problem. In addition, optimization of a fuzzy system becomes a multiobjective optimization problems when we take both interpretability and accuracy of the fuzzy systems into account. Thus, applications of nature-inspired optimization.