pyrepo_mcda.mcda_methods.vikor
==============================

.. py:module:: pyrepo_mcda.mcda_methods.vikor


Classes
-------

.. autoapisummary::

   pyrepo_mcda.mcda_methods.vikor.VIKOR


Module Contents
---------------

.. py:class:: VIKOR(normalization_method=None, v=0.5)

   Bases: :py:obj:`pyrepo_mcda.mcda_methods.mcda_method.MCDA_method`


   VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)
   method for ranking alternatives and identifying compromise solutions
   based on group utility and individual regret measures.


   .. py:attribute:: v
      :value: 0.5



   .. py:attribute:: normalization_method
      :value: None



   .. py:method:: __call__(matrix, weights, types)

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

      Parameters
      -----------
          matrix : ndarray
              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) 



   .. py:method:: _vikor(matrix, weights, types, normalization_method, v)
      :staticmethod: