Fuzzy logic is becoming recognized as an effective method for writing algorithms for control systems. As with everything else, the robustness of fuzzy lies in the system designer's ability to fully define the system and write effective "rules" for how the system should operate. What is new about fuzzy is that it allows parameters to fall within certain ranges and based upon where input data falls within these ranges, a definite result can be generated.