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#Code automatically generated with fuzzylite 6.0.
library(ggplot2);
engine.name = "tsukamoto"
engine.fll = "Engine: tsukamoto
InputVariable: X
enabled: true
range: -10.000 10.000
lock-range: false
term: small Bell -10.000 5.000 3.000
term: medium Bell 0.000 5.000 3.000
term: large Bell 10.000 5.000 3.000
OutputVariable: Ramps
enabled: true
range: 0.000 1.000
lock-range: false
aggregation: none
defuzzifier: WeightedAverage Automatic
default: nan
lock-previous: false
term: b Ramp 0.600 0.400
term: a Ramp 0.000 0.250
term: c Ramp 0.700 1.000
OutputVariable: Sigmoids
enabled: true
range: 0.020 1.000
lock-range: false
aggregation: none
defuzzifier: WeightedAverage Automatic
default: nan
lock-previous: false
term: b Sigmoid 0.500 -30.000
term: a Sigmoid 0.130 30.000
term: c Sigmoid 0.830 30.000
OutputVariable: ZSShapes
enabled: true
range: 0.000 1.000
lock-range: false
aggregation: none
defuzzifier: WeightedAverage Automatic
default: nan
lock-previous: false
term: b ZShape 0.300 0.600
term: a SShape 0.000 0.250
term: c SShape 0.700 1.000
OutputVariable: Concaves
enabled: true
range: 0.000 1.000
lock-range: false
aggregation: none
defuzzifier: WeightedAverage Automatic
default: nan
lock-previous: false
term: b Concave 0.500 0.400
term: a Concave 0.240 0.250
term: c Concave 0.900 1.000
RuleBlock:
enabled: true
conjunction: none
disjunction: none
implication: none
activation: General
rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a
rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b
rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c"
engine.fldFile = "tsukamoto.fld"
if (require(data.table)) {
engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto")
} else {
engine.df = read.table(engine.fldFile, header=TRUE)
}
engine.plot.i1_o1 = ggplot(engine.df, aes(X, Ramps)) +
geom_line(aes(color=Ramps), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("X vs Ramps")
engine.plot.o1_i1 = ggplot(engine.df, aes(X, Ramps)) +
geom_line(aes(color=Ramps), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("Ramps vs X")
engine.plot.i1_o2 = ggplot(engine.df, aes(X, Sigmoids)) +
geom_line(aes(color=Sigmoids), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("X vs Sigmoids")
engine.plot.o2_i1 = ggplot(engine.df, aes(X, Sigmoids)) +
geom_line(aes(color=Sigmoids), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("Sigmoids vs X")
engine.plot.i1_o3 = ggplot(engine.df, aes(X, ZSShapes)) +
geom_line(aes(color=ZSShapes), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("X vs ZSShapes")
engine.plot.o3_i1 = ggplot(engine.df, aes(X, ZSShapes)) +
geom_line(aes(color=ZSShapes), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("ZSShapes vs X")
engine.plot.i1_o4 = ggplot(engine.df, aes(X, Concaves)) +
geom_line(aes(color=Concaves), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("X vs Concaves")
engine.plot.o4_i1 = ggplot(engine.df, aes(X, Concaves)) +
geom_line(aes(color=Concaves), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("Concaves vs X")
if (require(gridExtra)) {
engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, engine.plot.i1_o3, engine.plot.o3_i1, engine.plot.i1_o4, engine.plot.o4_i1, ncol=2, top=engine.name)
ggsave(paste0(engine.name, ".pdf"), engine.plots)
if (require(grid)) {
grid.newpage()
grid.draw(engine.plots)
}
}
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