[Retracted] Economic Order Quantity Model-Based Optimized Fuzzy Nonlinear Dynamic Mathematical Schemes

Algorithm 1

Fuzzy mathematical model algorithm.

	from numpy import where
	from sklearn.datasets import make_classification
	from matplotlib import pyplot
	Step 1
	# define data set
	X, y = make_classification(n_samples = 1000, n_features = 2, n_informative = 2,
	n_redundant = 0, n_clusters_per_class = 1, random_state = 4)
	Step 2
	# create scatter plot for samples from each class
	for class_value in range (2):
	step 3
	# get row indexes for samples with this class
	row_ix = where (y = = class_value)
	step 4
	# create scatter of these samples
	pyplot.scatter (X [row_ix, 0], X [row_ix, 1])
	step 5
	# show the plot
	pyplot.show ()