Structure of Fuzzy Control Module with Neural Network

The paper deals with the fuzzy control module's structure, which has the property that is deficit in "conventional" uncertain systems - the skill to learn. This is attained by offering the control module in the form of a neural-like multi-layer network. At the same time, this system is free from the main disadvantage of neural networks - the knowledge distribution. All parameters and weights retain their physical understanding, which makes it likely to examine the information gathered by the system in the process of learning.