The right holder of virtual property is the player.

Also, network game attracts a lot of players because it possesses charm of unique electron condition, that is, virtual community, the online role play, increase tier step, teleprescence , immediately interactive etc.

On the basis of physics nature of cotton, as well as experts' experience, this paper applied developed a math model for the computer match-cotton system using fuzzing mathematics, and applied the model in practice successfully.

Several control rules are derived from expert experience,the proposed method can overcome the weakness of the conventional PID regulators,and make the system more robustness.

In this paper,a new decision-making for task allocation in radar net is presented,which is a combination of expert experiences and decision models based on detection probability.

Meanwhile,the expert experience is introduced to simplify the number of optimizing parameters, and then the controller is further improved with the hybrid training by adopting the BP algorithm proceeding online adjustment.