View Source Descisionex.Helper (Descisionex v0.1.8)
Utility functions
Link to this section Summary
Functions
Average number for matrix row.
Calculate weights for matrix rows.
Find maximal criteria (row) in matrix (with index).
Find minimal criteria (row) in matrix (with index).
Normalizes matrix.
Matrix rounding to 3 numbers.
Link to this section Functions
Average number for matrix row.
examples
Examples
iex> matrix = [[1, 2], [3, 4], [0, 1]]
iex> Enum.map(matrix, fn row -> Descisionex.Helper.avg(row, 2) end)
[1.5, 3.5, 0.5]Calculate weights for matrix rows.
examples
Examples
iex> matrix = [[1, 2], [3, 4], [0, 1]]
iex> size = 2 # matrix row elements count
iex> Descisionex.Helper.calculate_weights(matrix, size)
[[1.5], [3.5], [0.5]]Find maximal criteria (row) in matrix (with index).
examples
Examples
iex> matrix = [[1, 2], [3, 4], [0, 1]]
iex> Descisionex.Helper.find_max_criteria(matrix)
{[3, 4], 1}Find minimal criteria (row) in matrix (with index).
examples
Examples
iex> matrix = [[1, 2], [3, 4], [0, 1]]
iex> Descisionex.Helper.find_min_criteria(matrix)
{[0, 1], 2}Normalizes matrix.
examples
Examples
iex> matrix = [[1, 2], [3, 4], [0, 1]]
iex> size = 3 # matrix rows
iex> Descisionex.Helper.normalize(matrix, size)
[[0.25, 0.286], [0.75, 0.571], [0.0, 0.143]]Matrix rounding to 3 numbers.
examples
Examples
iex> matrix = [[1/3, 2/3], [4/5, 5/6]]
iex> Descisionex.Helper.round_matrix(matrix)
[[0.333, 0.667], [0.8, 0.833]]