pyrepo_mcda.weighting_methods

Functions

equal_weighting(matrix)	Calculate criteria weights using objective Equal weighting method.
entropy_weighting(matrix)	Calculate criteria weights using objective Entropy weighting method.
std_weighting(matrix)	Calculate criteria weights using objective Standard deviation weighting method.
critic_weighting(matrix)	Calculate criteria weights using objective CRITIC weighting method.
gini_weighting(matrix)	Calculate criteria weights using objective Gini coefficient-based weighting method.
merec_weighting(matrix, types)	Calculate criteria weights using objective MEREC weighting method.
stat_var_weighting(matrix)	Calculate criteria weights using objective Statistical variance weighting method.
cilos_weighting(matrix, types)	Calculate criteria weights using objective CILOS weighting method.
idocriw_weighting(matrix, types)	Calculate criteria weights using objective IDOCRIW weighting method.
angle_weighting(matrix, types)	Calculate criteria weights using objective Angle weighting method.
coeff_var_weighting(matrix)	Calculate criteria weights using objective Coefficient of variation weighting method.

Module Contents

pyrepo_mcda.weighting_methods.equal_weighting(matrix)

Calculate criteria weights using objective Equal weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = equal_weighting(matrix)

pyrepo_mcda.weighting_methods.entropy_weighting(matrix)

Calculate criteria weights using objective Entropy weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = entropy_weighting(matrix)

pyrepo_mcda.weighting_methods.std_weighting(matrix)

Calculate criteria weights using objective Standard deviation weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = std_weighting(matrix)

pyrepo_mcda.weighting_methods.critic_weighting(matrix)

Calculate criteria weights using objective CRITIC weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = critic_weighting(matrix)

pyrepo_mcda.weighting_methods.gini_weighting(matrix)

Calculate criteria weights using objective Gini coefficient-based weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = gini_weighting(matrix)

pyrepo_mcda.weighting_methods.merec_weighting(matrix, types)

Calculate criteria weights using objective MEREC weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

typesndarray

Vector with criteria types.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = merec_weighting(matrix, types)

pyrepo_mcda.weighting_methods.stat_var_weighting(matrix)

Calculate criteria weights using objective Statistical variance weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = stat_var_weighting(matrix)

pyrepo_mcda.weighting_methods.cilos_weighting(matrix, types)

Calculate criteria weights using objective CILOS weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

typesndarray

Vector with criteria types.

Returns

ndarray

Vector of criteria weights.

Examples >>> weights = cilos_weighting(matrix, types)

pyrepo_mcda.weighting_methods.idocriw_weighting(matrix, types)

Calculate criteria weights using objective IDOCRIW weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

typesndarray

Vector with criteria types.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = idocriw_weighting(matrix, types)

pyrepo_mcda.weighting_methods.angle_weighting(matrix, types)

Calculate criteria weights using objective Angle weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

typesndarray

Vector with criteria types.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = angle_weighting(matrix, types)

pyrepo_mcda.weighting_methods.coeff_var_weighting(matrix)

Calculate criteria weights using objective Coefficient of variation weighting method.

Parameters

matrixndarray

Decision matrix with performance values of m alternatives and n criteria.

Returns

ndarray

Vector of criteria weights.

Examples

>>> weights = coeff_var_weighting(matrix)