utilities.preference_converters

Provides implementations that convert one type of preference information to another.

Module Contents

Functions

classification_to_reference_point(→ dict)

Convert classification type of preference (e.g. NIMBUS) to reference point
utilities.preference_converters.classification_to_reference_point(classification_preference: dict, ideal: numpy.ndarray, nadir: numpy.ndarray) → dict[source]

Convert classification type of preference (e.g. NIMBUS) to reference point preference.

Parameters:

  • classification_preference (dict) – A dict containing keys ‘current solution’, ‘levels’, and ‘classifications’. Read the NIMBUS paper for more details.

  • ideal (np.ndarray) – The ideal point of the problem.

  • nadir (np.ndarray) – The nadir point of the problem.

Returns:

The preference in the form of a reference point. Contains one key:

”reference point”, which maps to the preference in a numpy array structure.

Return type:

dict