Autonomous Ability Evaluation Method for Intelligent Decision System Based on Machine Learning
摘要
The intelligent decision-making system has a wide range of applications in airborne and other aspects. There is no perfect evaluation system for the reliability of the intelligent decision-making system. Therefore, this paper establishes a reliability evaluation model of the intelligent decision-making system and proposes an intelligent decision- making system. The credibility evaluation method of decision-making system and a user-friendly visual intelligent decision-making system credibility evaluation platform are built. The reliability evaluation model of intelligent decision-making system is driven by data, researches the index system for comprehensive evaluation of reliability, and forms the reliability evaluation index of intelligent decision-making system. The reliability of the system is evaluated through generalization and robustness, and a generalization ability evaluation index system and a robust ability evaluation index system are constructed. The intelligent decision-making system credibility evaluation platform integrates the test case generation module, the system generalization index calculation module, and the system robustness index calculation module and evaluates the intelligent decision system from different perspectives of generalization and robustness.