  In this paper new hierarchical hybrid fuzzy-crisp methods for decision making
and action selection of an agent in soccer simulation 3D environment are
presented. First, the skills of an agent are introduced, implemented and
classified in two layers, the basicskills and the highlevel skills. In the
second layer, a twophase mechanism for decision making is introduced. In phase
one, some useful methods are implemented which check the agent's situation for
performing required skills. In the next phase, the team str ategy, team for
mation, agent's role and the agent's positioning system are introduced. A fuzzy
logical approach is employed to recognize the team strategy and further more to
tell the player the best position to move. At last, we comprised our
implemented algor ithm in the Robocup Soccer Simulation 3D environment and
results showed th eefficiency of the introduced methodology.
