Machine Leering Based on Fuzzy Decision Trees for Autonomous Armed Aerial Vehicle Control in Realistic Air Combat Scenarios

Abstract

Regression artificial bits of intellect that can be used to incredibly complex problems have been developed thanks to advances in fuzzy decision tree algorithms, most famously the creation of the Fuzzy approach. Superior speed, computational ability, uncertainty and inconsistencies, the capacity to adjust to changing circumstances, proper safety specifications and working principle verified, and simple formulation and construction are only a few examples. The article presents an unclear end tree that controls autonomous fighter planes during aerial combat missions in a high reliability simulated environment in the paper. Until now, this has referred to a larger program of the fuzzy decision tree to the issue of autonomous battle aerial vehicle management. General Jean Lee evaluated the clustering algorithm version while it was being developed, declaring it "the most active, reactive, creative, and trustworthy FDT currently sees today."The level of these initial outcomes develops into dynamic and ambiguous animosity, as well as smart and uncontrolled animosity, both of which have major ramifications for this sort of decision tree. That method adds to the evidence that it is a great answer to a variety of issues.