1 files changed, 67 insertions, 0 deletions
diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.R b/examples/takagi-sugeno/octave/linear_tip_calculator.R
new file mode 100644
index 0000000..e6a7058
--- /dev/null
+++ b/examples/takagi-sugeno/octave/linear_tip_calculator.R
@@ -0,0 +1,67 @@
+#Code automatically generated with fuzzylite 6.0.
+
+library(ggplot2);
+
+engine.name = "linear_tip_calculator"
+engine.fll = "Engine: linear_tip_calculator
+InputVariable: FoodQuality
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+InputVariable: Service
+  enabled: true
+  range: 1.000 10.000
+  lock-range: false
+  term: Bad Trapezoid 0.000 1.000 3.000 7.000
+  term: Good Trapezoid 3.000 7.000 10.000 11.000
+OutputVariable: Tip
+  enabled: true
+  range: 10.000 20.000
+  lock-range: false
+  aggregation: none
+  defuzzifier: WeightedAverage TakagiSugeno
+  default: nan
+  lock-previous: false
+  term: TenPercent Linear 0.000 0.000 10.000
+  term: FifteenPercent Linear 0.000 0.000 15.000
+  term: TwentyPercent Linear 0.000 0.000 20.000
+RuleBlock: 
+  enabled: true
+  conjunction: Minimum
+  disjunction: none
+  implication: none
+  activation: General
+  rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent
+  rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent
+  rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent
+  rule: if FoodQuality is Good and Service is Good then Tip is TwentyPercent"
+
+engine.fldFile = "linear_tip_calculator.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(FoodQuality, Service)) + 
+    geom_tile(aes(fill=Tip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=FoodQuality, y=Service, z=Tip), color="black") + 
+    ggtitle("(FoodQuality, Service) = Tip")
+
+engine.plot.i2i1_o1 = ggplot(engine.df, aes(Service, FoodQuality)) + 
+    geom_tile(aes(fill=Tip)) + 
+    scale_fill_gradient(low="yellow", high="red") + 
+    stat_contour(aes(x=Service, y=FoodQuality, z=Tip), color="black") + 
+    ggtitle("(Service, FoodQuality) = Tip")
+
+if (require(gridExtra)) {
+    engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, ncol=2, top=engine.name)
+    ggsave(paste0(engine.name, ".pdf"), engine.plots)
+    if (require(grid)) {
+        grid.newpage()
+        grid.draw(engine.plots)
+    }
+}