A Robot Control Method Based on Granularity Generated from Rough Sets

Abstract

In this paper, we discuss how we can solve conflict resolution problem in the robot's garbage collection problem based on rough-set-based granularity. The solusion is equivalent to approximation of the action that it should select from finite knowledge. Then, we interpret how the lower and the upper approximation can be generated. We also introduce variable precision rough set model when we cannot obtain the lower approximation.