An Agent Control Method Based on Rough-Set-Based Granularity

Abstract

In this paper, we propose a way of solving conflict resolution in agent control based on rough-set-based granularity. The solution is obtained as the lower approximation of possible actions selected from limited knowledge. Then, we explain how the lower approximation can be generated. In case that the lower approximation is an empty set, variable precision rough set model enables us to obtain the solution of conflict resolution.