pyrepo_mcda.sensitivity_analysis_weights_values
===============================================

.. py:module:: pyrepo_mcda.sensitivity_analysis_weights_values


Classes
-------

.. autoapisummary::

   pyrepo_mcda.sensitivity_analysis_weights_values.Sensitivity_analysis_weights_values


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

.. py:class:: Sensitivity_analysis_weights_values

   .. py:method:: __call__(matrix, weight_values, types, method, j)

      Method for sensitivity analysis. This method determines rankings of alternatives using chosen
      MCDA method name `mcda_name` for the value of criterion `j` weight set as chosen `weight_value`.

      Parameters
      -----------
          matrix : ndarray
              Decision matrix with performance values of alternatives. This matrix includes
              data on alternatives in rows considering criteria in columns.

          weight_values : ndarray
              Vector with values to be set as the weight of chosen criterion in the sensitivity analysis procedure in range from 0 to 1.

          types : ndarray
              Vector with criteria types. Types must be equal to 1 for profit criteria and -1
              for cost criteria.

          method : class
              Initialized object of class of chosen MCDA method

          j : int
              Index of the column in decision matrix `matrix` that indicates for which criterion
              the weight is set with chosen value.

      Returns
      --------
          data_sens : DataFrame
              dataframe with rankings calculated for subsequent changes of criterion `j` weight.
              Particular rankings for different weight values of criterion `j` are included in
              subsequent columns of the dataframe.

      Examples
      ----------
      >>> sensitivity_analysis = Sensitivity_analysis_weights_values()
      >>> df_sens = sensitivity_analysis(matrix, weight_values, types, method, j)



   .. py:method:: _change_weights(matrix, weight_value, j)

      Method for criteria weights changing in sensitivity analysis procedure.

      Parameters
      -----------
          matrix : ndarray
              Decision matrix with performance values of alternatives. This matrix includes
              data on alternatives in rows considering criteria in columns

          weight_value : float
              Value in range from 0 to 1 to be set as the weight of chosen criterion with index `j`.

          j : int
              Index of the column in decision matrix `matrix` indicating for which criterion
              the weight value is changed.

      Returns
      --------
          new_weights : ndarray
              Vector with criteria weights after changing their values for sensitivity analysis



   .. py:method:: _sensitivity_analysis_weights_values(self, matrix, weight_values, types, method, list_alt_names, j)
      :staticmethod: