It provides a simple way to draw definite conclusions from vague, ambiguous or imprecise information. It resembles human decision making with its ability to work from approximate data and find precise solutions. Unlike classical logic which requires a deep understanding of a system, exact equations and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience.
Neural networks are modeless systems that learn from the underlying relationships of data.
They are organized in a way to simulate the cells of human brain. Like Fourier series, GMDH can approximate any function with good accuracy.