pyrepo_mcda.mcda_methods.pvm

Classes

PVM

Module Contents

class pyrepo_mcda.mcda_methods.pvm.PVM

__call__(matrix, weights, types, psi=None, phi=None)

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
Attribute weights to the criteria. Sum of weights must be equal to 1.

types: list
Define the criteria character: Motivating criteria are represented by m Demotivating criteria are represented by dm Desirable criteria are represented by d Non-desirable criteria are represented by nd

psi: ndarray
Preference vector with motivating or desirable values. Providing of psi is optional.

phi: ndarray
Preference vector with demotivating or non-desirable values. Providing of psi is optional.

Returns

ndrarray
Preference values of each alternative. The best alternative has the highest preference value.

Examples

>>> pvm = PVM()
>>> pref = pvm(matrix, weights, types)
>>> rank = rank_preferences(pref, reverse = True)

static _pvm(matrix, weights, types, psi, phi)