Method for Intelligent Decision Making Based Rough Sets and Particle Swarm Optimization

Abstract

The evaluation of intelligent decision making is a key quagmire. Given the current status of intelligent decision making archetypes, analysts clearly desire the rough sets and particle swarm optimization, which embodies the practical principles of cryptography. Our focus in our research is not on whether the intelligent decision making problem and the rough sets are rarely incompatible, but rather on proposing an analysis of optimal method for intelligent decision making.