diff options
Diffstat (limited to 'examples/takagi-sugeno/octave/linear_tip_calculator.R')
-rw-r--r-- | examples/takagi-sugeno/octave/linear_tip_calculator.R | 67 |
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) + } +} |