Description Usage Arguments Value Author(s) Examples
To generate a fuzzy membership function based on generalised bell fuzzification for the given crisp input x
1 | gbell.fuzzification(x, mf.params)
|
x |
the crisp input, which will be the parameter c for a generalised bell membership function |
mf.params |
the parameters c(a, b) or c(a, b, h) for a generalised bell membership function |
The gbell MF centred at the crisp point x
Chao Chen
1 2 3 4 5 | mf <- gbell.fuzzification(3, c(1,2))
# This is the same as:
mf <- genmf('gbellmf', c(1,2,3))
evalmf(1:10, mf)
|
[,1]
[1,] 0.0588235294
[2,] 0.5000000000
[3,] 1.0000000000
[4,] 0.5000000000
[5,] 0.0588235294
[6,] 0.0121951220
[7,] 0.0038910506
[8,] 0.0015974441
[9,] 0.0007710100
[10,] 0.0004163197
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