pyrepo_mcda.mcda_methods.marcos
===============================

.. py:module:: pyrepo_mcda.mcda_methods.marcos


Classes
-------

.. autoapisummary::

   pyrepo_mcda.mcda_methods.marcos.MARCOS


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

.. py:class:: MARCOS

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


   Measurement Alternatives and Ranking according to Compromise Solution (MARCOS)
   method for ranking alternatives based on their utility degrees relative to
   ideal and anti-ideal solutions.


   .. 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
              Criteria weights. Sum of weights must be equal to 1.
          types: ndarray
              Criteria types. Profit criteria are represented by 1 and cost by -1.

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

      Examples
      ----------
      >>> marcos = MARCOS()
      >>> pref = marcos(matrix, weights, types)
      >>> rank = rank_preferences(pref, reverse = True)



   .. py:method:: _marcos(matrix, weights, types)
      :staticmethod: