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-rw-r--r--examples/mamdani/Laundry.R91
1 files changed, 91 insertions, 0 deletions
diff --git a/examples/mamdani/Laundry.R b/examples/mamdani/Laundry.R
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+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "Laundry"
+engine.fll = "Engine: Laundry
+InputVariable: Load
+ enabled: true
+ range: 0.000 6.000
+ lock-range: false
+ term: small Discrete 0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000
+ term: normal Discrete 3.000 0.000 4.000 1.000 6.000 0.000
+InputVariable: Dirt
+ enabled: true
+ range: 0.000 6.000
+ lock-range: false
+ term: low Discrete 0.000 1.000 2.000 0.800 5.000 0.000
+ term: high Discrete 1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000
+OutputVariable: Detergent
+ enabled: true
+ range: 0.000 80.000
+ lock-range: false
+ aggregation: Maximum
+ defuzzifier: MeanOfMaximum 500
+ default: nan
+ lock-previous: false
+ term: less_than_usual Discrete 10.000 0.000 40.000 1.000 50.000 0.000
+ term: usual Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000
+ term: more_than_usual Discrete 50.000 0.000 80.000 1.000
+OutputVariable: Cycle
+ enabled: true
+ range: 0.000 20.000
+ lock-range: false
+ aggregation: Maximum
+ defuzzifier: MeanOfMaximum 500
+ default: nan
+ lock-previous: false
+ term: short Discrete 0.000 1.000 10.000 1.000 20.000 0.000
+ term: long Discrete 10.000 0.000 20.000 1.000
+RuleBlock:
+ enabled: true
+ conjunction: Minimum
+ disjunction: Maximum
+ implication: Minimum
+ activation: General
+ rule: if Load is small and Dirt is not high then Detergent is less_than_usual
+ rule: if Load is small and Dirt is high then Detergent is usual
+ rule: if Load is normal and Dirt is low then Detergent is less_than_usual
+ rule: if Load is normal and Dirt is high then Detergent is more_than_usual
+ rule: if Detergent is usual or Detergent is less_than_usual then Cycle is short
+ rule: if Detergent is more_than_usual then Cycle is long"
+
+engine.fldFile = "Laundry.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.i1i2_o1 = ggplot(engine.df, aes(Load, Dirt)) +
+ geom_tile(aes(fill=Detergent)) +
+ scale_fill_gradient(low="yellow", high="red") +
+ stat_contour(aes(x=Load, y=Dirt, z=Detergent), color="black") +
+ ggtitle("(Load, Dirt) = Detergent")
+
+engine.plot.i2i1_o1 = ggplot(engine.df, aes(Dirt, Load)) +
+ geom_tile(aes(fill=Detergent)) +
+ scale_fill_gradient(low="yellow", high="red") +
+ stat_contour(aes(x=Dirt, y=Load, z=Detergent), color="black") +
+ ggtitle("(Dirt, Load) = Detergent")
+
+engine.plot.i1i2_o2 = ggplot(engine.df, aes(Load, Dirt)) +
+ geom_tile(aes(fill=Cycle)) +
+ scale_fill_gradient(low="yellow", high="red") +
+ stat_contour(aes(x=Load, y=Dirt, z=Cycle), color="black") +
+ ggtitle("(Load, Dirt) = Cycle")
+
+engine.plot.i2i1_o2 = ggplot(engine.df, aes(Dirt, Load)) +
+ geom_tile(aes(fill=Cycle)) +
+ scale_fill_gradient(low="yellow", high="red") +
+ stat_contour(aes(x=Dirt, y=Load, z=Cycle), color="black") +
+ ggtitle("(Dirt, Load) = Cycle")
+
+if (require(gridExtra)) {
+ engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name)
+ ggsave(paste0(engine.name, ".pdf"), engine.plots)
+ if (require(grid)) {
+ grid.newpage()
+ grid.draw(engine.plots)
+ }
+}