Defines the hedges available for modifying fuzzy sets, or shapes.
Namespace: FuzzyConsts
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Hedges modify the shape of a fuzzy set in predictable ways. For example, the very hedge modifies a fuzzy set by pushing all values less than one towards zero. This has the effect of shrinking the boundary, the fuzzy portion, of the set closer to the area that is completely in the set. Hedges are very powerful because they are predictable as well as intuitive. Intuitively, if we think about a temperature being very cold we want the value to be the proto-typical value of cold, closer to cold. A temperature of 30 is certainly a member of cold, but it should definitely be less of a member of very cold, which is what occurs. Note that the hedges about, vicinity (of), close, near, and neighboring are called approximation hedges. They are excellent hedges for modify scalar values, e.g., about 50 degrees. The hedges positively, absolutely, and definitely are called contrast intensification hedges as they intensify the contrast; all Y values are pushed closer to 0 or 1. The Generally hedge is the oppositie, it is a constrast diffusion hedge. |
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