Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
Applications of intelligent agents
Agent technology
RoboCup 2001: Robot Soccer World Cup V
Hierarchical fuzzy state controller for robot vision
RobVis'08 Proceedings of the 2nd international conference on Robot vision
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In this paper, a step-by-step procedure for designing a fuzzy decision making system for RoboCup agents is introduced and implemented. By using this mechanism agents can determine, which direction to look at. The development process and debugging of this approach are much less time consuming and very simple to follow, in comparison to other analytical hand coded implementations with complex conditions and many parameters in the code. The results show that, the methodology can be employed in many decision-making problems like the soccer agent's case and other potential fields, to decrease the development time and improve the efficiency of a decision making system. Up until now, fuzzy systems have been used rarely by any of the participating teams in the annual RoboCup competitions. This paper could serve as the first inception for the design of a RoboCup agent, which uses internal fuzzy systems for many of its decision-making tasks.