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#Code automatically generated with fuzzylite 6.0.
library(ggplot2);
engine.name = "SimpleDimmerChained"
engine.fll = "Engine: SimpleDimmerChained
InputVariable: Ambient
enabled: true
range: 0.000 1.000
lock-range: false
term: DARK Triangle 0.000 0.250 0.500
term: MEDIUM Triangle 0.250 0.500 0.750
term: BRIGHT Triangle 0.500 0.750 1.000
OutputVariable: Power
enabled: true
range: 0.000 1.000
lock-range: false
aggregation: Maximum
defuzzifier: Centroid 200
default: nan
lock-previous: false
term: LOW Triangle 0.000 0.250 0.500
term: MEDIUM Triangle 0.250 0.500 0.750
term: HIGH Triangle 0.500 0.750 1.000
OutputVariable: InversePower
enabled: true
range: 0.000 1.000
lock-range: false
aggregation: Maximum
defuzzifier: Centroid 500
default: nan
lock-previous: false
term: LOW Cosine 0.200 0.500
term: MEDIUM Cosine 0.500 0.500
term: HIGH Cosine 0.800 0.500
RuleBlock:
enabled: true
conjunction: none
disjunction: none
implication: Minimum
activation: General
rule: if Ambient is DARK then Power is HIGH
rule: if Ambient is MEDIUM then Power is MEDIUM
rule: if Ambient is BRIGHT then Power is LOW
rule: if Power is LOW then InversePower is HIGH
rule: if Power is MEDIUM then InversePower is MEDIUM
rule: if Power is HIGH then InversePower is LOW"
engine.fldFile = "SimpleDimmerChained.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(Ambient, Power)) +
geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("Ambient vs Power")
engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) +
geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("Power vs Ambient")
engine.plot.i1_o2 = ggplot(engine.df, aes(Ambient, InversePower)) +
geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
ggtitle("Ambient vs InversePower")
engine.plot.o2_i1 = ggplot(engine.df, aes(Ambient, InversePower)) +
geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") +
scale_color_gradient(low="yellow", high="red") +
coord_flip() +
ggtitle("InversePower vs Ambient")
if (require(gridExtra)) {
engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_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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