defmodule VariableTest do use ExUnit.Case alias Flex.{Set, Variable} doctest Flex test "fuzzification test" do t_h = Set.new(tag: "too hot", mf_type: "saturation", mf_params: [-2, 0, 4]) j_r = Set.new(tag: "just right", mf_type: "triangle", mf_params: [-2, 0, 2]) t_c = Set.new(tag: "too cold", mf_type: "shoulder", mf_params: [0, 2, 4]) fuzzy_sets = [t_h, j_r, t_c] error = Variable.new(tag: "error", fuzzy_sets: fuzzy_sets, type: :antecedent, range: 1..2) n_error = Variable.fuzzification(error, -1) assert n_error.mf_values["just right"] == 0.5 assert n_error.mf_values["too cold"] == 0 assert n_error.mf_values["too hot"] == 0.5 end test "fuzzification only for antecedent variable" do t_h = Set.new(tag: "too hot", mf_type: "saturation", mf_params: [-2, 0, 4]) j_r = Set.new(tag: "just right", mf_type: "triangle", mf_params: [-2, 0, 2]) t_c = Set.new(tag: "too cold", mf_type: "shoulder", mf_params: [0, 2, 4]) fuzzy_sets = [t_h, j_r, t_c] error = Variable.new(tag: "error", fuzzy_sets: fuzzy_sets, type: :consequent, range: 1..2) n_error = Variable.fuzzification(error, -1) assert n_error == :error end test "Update a variable (ANFIS)" do # Random Initialization y1 = Set.new(tag: "y1", mf_type: "linear_combination", mf_params: [1, 1, 1]) y2 = Set.new(tag: "y2", mf_type: "linear_combination", mf_params: [1, 1, 1]) y3 = Set.new(tag: "y3", mf_type: "linear_combination", mf_params: [1, 1, 1]) y4 = Set.new(tag: "y4", mf_type: "linear_combination", mf_params: [1, 1, 1]) fuzzy_sets = [y1, y2, y3, y4] output = Variable.new(tag: "y", fuzzy_sets: fuzzy_sets, type: :consequent, range: -10..10) gradients = [ [0.0, 0.0, 0.97], [0.0, 0.0, 0.01], [0.0, 0.0, 0.01], [0.0, 0.0, 0.01] ] desired_mf_params = [ [1.0, 1.0, 0.9515], [1.0, 1.0, 0.9995], [1.0, 1.0, 0.9995], [1.0, 1.0, 0.9995] ] new_variable = Variable.update(output, gradients, 0.05) for {fuzzy_set, desired_mf_param} <- Enum.zip(new_variable.fuzzy_sets, desired_mf_params), do: assert(fuzzy_set.mf_params == desired_mf_param) end end