CONSTRUCTION OF FUZZY DECISION TREE BASED ON EXPERIMENTAL DATA FOR SIGNAL PROCESSING OF DISTRIBUTED FIBER-OPTIC MEASURING NETWORK
We developed and researched the algorithm for constructing a fuzzy system of production in the form of a fuzzy decision tree while training by the multiple-access of experimental data for recognition of dynamic images for moving objects in the area of distributed fiber-optic measuring network (DFMN) to protect the perimeter of the object.
Keywords: fuzzy system of production, expert system, fuzzy inference, fuzzy modeling
