APPLICATION OF FUZZY LOGIC TO ARTIFICIAL INTELLIGENCE SYSTEMS

Currently, the relevance of the presented work is due to the fact that it is impossible to deny the validity of the theory of fuzzy sets and fuzzy logic as a tool of computer science in almost all areas of human activity. Moreover, if we put all the applications of pure mathematics in applied sciences on one scale, and applications of fuzzy mathematics on the other, the second scale will outweigh. This article presents applications in engineering, medicine, economics, etc. Fuzzy mathematics also penetrates into Big Data, despite the fact that Big Data materials are not in the public domain. This scientific study is devoted to the use of the theory of fuzzy sets and fuzzy logic as a unified tool for creating artificial intelligence systems in politics. Fuzzy sets and fuzzy logic have penetrated artificial intelligence from the very beginning, as well as Big Data, namely, Data Mining with fuzzy trees and information security issues. The penetration of fuzzy mathematics into Map Reduce is in its infancy based on the clustering problem. Fuzzy sets and fuzzy logic penetrate through Big Data and into politics, national issues, issues of combating hacking in the banking system, the security system and elections. The practical significance of the presented study is determined by the universality of the foundations of fuzzy logic for building the architecture of an information system. The ability to implement big data information technologies in energy, artificial intelligence, politics and other aspects of social progress completely determines the constructiveness of this array.