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Triangle Membership Function |
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| The triangle is the most common membership
function used in fuzzy logic. It consists of 3 nodes. |
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Trapezoid Membership Function |
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| The trapezoid membership function consists of
4 nodes. |
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S Curve Membership Function |
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| The S Curve membership function is the most versatile.
It consists of 7 nodes. It is the only membership function that
allows the 'y' value of the nodes to be changed. The only
restriction on the nodes is that they cannot move beyond their neighbor
nodes in the 'x' direction.
The 'S' Curve membership function is the only one that allows you to modify the 'y'
value of the nodes (note: the first and last node's 'y' values cannot be changed, they
must remain at zero). The only restriction on the 'S' Curve's nodes is that they
cannot cross, this restriction is enforced by Spark!. |
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Singleton Membership Function |
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| The singleton membership function is a
special case for fuzzy logic. It represents a discrete
value. It is a "non-fuzzy" membership function.
This is used when a discrete choice is needed - such as if your logic is
based on the "type of car". Values could be: Ford,
Chevrolet, Toyota and Buick there really is not an
"in between" state. |
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