Sometimes one and the same process input value has to be modified to keep several different critical measurements (temperature, fluid bed height) in the optimum range. This can have conflicting results. For example: a too low fluid bed is normally corrected with an increase of the coal input. A too low temperature is corrected with a reduction of the coal input and a too low dust output is also corrected with a reduction of the coal input. But a too low temperature can occur together with a too low fluid bed. The ability of the fuzzy controller to weight different conflicting indications based on their significance and to use a lot of inputs to determine the best reaction to each situation is very useful to control complex processes.