objective_weighting.additions

Module Contents

Functions

rank_preferences(pref, reverse=True)

Rank alternatives according to MCDA preference function values. If more than one alternative
objective_weighting.additions.rank_preferences(pref, reverse=True)[source]

Rank alternatives according to MCDA preference function values. If more than one alternative have the same preference function value, they will be given the same rank value (tie).

Parameters

  • pref (ndarray) – Vector with MCDA preference function values for alternatives

  • reverse (bool) – The boolean variable is True for MCDA methods that rank alternatives in descending order (for example, TOPSIS, CODAS) and False for MCDA methods that rank alternatives in ascending order (for example, VIKOR, SPOTIS)

Returns

Vector with alternatives ranking. Alternative with 1 value is the best and has the first position in the ranking.

Return type

ndarray

Examples

>>> rank = rank_preferences(pref, reverse = True)