Minimum possible value of the crisp input. Any crisp value less than the minimum will have a degree of membership of 0.

Maximum possible value of the crisp input. Any crisp value greater than the maximum will have a degree of membership of 0.

The name of the fuzzy set. Each name for a fuzzy set should be unique for a given fuzzy variable.

The name of the mirrored fuzzy set.

The name of the combined fuzzy set (the original membership function and the mirrored membership function combined).

Common membership function presets for the fuzzy set defined on the node. The control points for each preset can be adjusted by the user.

Reverses the positions of the control points for the current preset.

A visualization of the membership function used to determine the degree of membership in the membership set. If the preset is set to "Custom" the ramp parameter becomes editable.

Toggles a mirrored fuzzy set for the fuzzy set defined by the node. If this is toggled, outputs will be added to the node for the mirrored fuzzy set.

Toggles a combined fuzzy set that has a membership function that is a combination of the mirrored fuzzy set and the original fuzzy set. If this is toggled (and a "Mirrored" is also toggled, outputs will be added to the node for the combined fuzzy set.

The number of samples to sample the membership function at when determining the degree of membership. The larger the value, the more accurate the representation of the fuzzy set will be.

Specifies the interpolation to use between the control points in the membership function.

The range parameter is the range of the membership values defined by the membership function (must be between 0 and 1), and is interpreted differently for each preset. For example, for the "Triangle" preset, the minimum will define the value "Position 1" and "Position 3," and the maximum will define the value for "Position 2."

The positions of each control point used to adjust each preset membership function. The position is a value between 0 and 1, and "Position 4" > "Position 3" > "Position 2" > "Position 1" (the positions will automatically be adjusted such that this remains true).

If the input is an array of crisp values, specifies the weight given to the samples throughout the array. For example, if the input contains samples throughout the agent’s field of view of the distance to an obstacle, a triangle-shaped function would provide more weight towards samples from the center of the field of view.

Toggles a fuzzy set that uses a mirror of the Sample Importance function. If this is toggled, outputs will be added to the node for the mirrored fuzzy set.

Toggles a combined fuzzy set which uses a sample importance function that is a combination of the mirrored sample importance function and the original Sample Importance function.