Application of Fuzzy Evaluation and Inference in RoboCup

Abstract

The thesis presented a heterogeneous players strategy using in RoboCup. The strategy used fuzzy evaluation to obtain the evaluation results of all heterogeneous players on various roles, and constructed a fuzzy inference system to dynamically select equal heterogeneous players for various roles. The simulation experiments and competition results show the application is feasible and effective.