Rename it Price. An output is mainly characterized by its range and its nature: crisp output or fuzzy output. The output nature influences the fuzzy inference mechanism:

- With a crisp output, the rule conclusion can be any numerical value.
- With a fuzzy output, the rule conclusion can only be the linguistic term associated with an output MF, for instance Low, Average, High.

Indepedently of the output nature, the inference result is a numerical value.

Other parameters:

- Default value: it is the value of the inference result for this output, if no rule is fired by the inference.
- Defuzzification and disjunction : choices linked to the way of aggregating the rule conclusions (see 3).
- classif: check this chekbox to round off the inference result to the closest class value (discrete value), for a crisp output.
The possible classes are restricted to the rule conclusion values.
If the output is fuzzy, its fuzzy partition must be defined, in the same way than for an input.