pyrepo_mcda.mcda_methods.vikor

Classes

VIKOR

Module Contents

class pyrepo_mcda.mcda_methods.vikor.VIKOR(normalization_method=None, v=0.5)

Bases: pyrepo_mcda.mcda_methods.mcda_method.MCDA_method

v

normalization_method

__call__(matrix, weights, types)

Score alternatives provided in decision matrix matrix using criteria weights and criteria types.

Parameters

matrixndarray
Decision matrix with m alternatives in rows and n criteria in columns.

weights: ndarray
Vector with criteria weights. Sum of weights must be equal to 1.

types: ndarray
Vector with criteria types. Profit criteria are represented by 1 and cost by -1.

Returns

ndrarray
Vector with preference values of each alternative. The best alternative has the lowest preference value.

Examples

>>> vikor = VIKOR(normalization_method = minmax_normalization)
>>> pref = vikor(matrix, weights, types)
>>> rank = rank_preferences(pref, reverse = False)

static _vikor(matrix, weights, types, normalization_method, v)