Simulation Experiment on Path Planning in Incomplete Fuzzy System Based on Dominance Rough Set
Pu Sheng · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In order to enhance the processing capacity of the inconsistent ordered study information system and transform the rough set of different precision dominance relation, they can enhance the adaptability of inconsistent information by introducing the clustering algorithm, because rough set can effectively deal with imprecise, inconsistent and incomplete information, it can effectively get rid of dependence on a priori knowledge in the learning process, and has strong ability of independent learning.Through the simulation analysis, we found that the autonomous learning method has higher inconsistency ordered information system with the prominent advantages.In the number of different rough set, this method has different accuracy and can be very good to adapt to the change of the offensive and defensive line as well as automatic planning prevention path, which provide the theory reference for the study of basketball training autonomous learning.