pyrepo_mcda.mcda_methods.spotis

Classes

SPOTIS

Module Contents

class pyrepo_mcda.mcda_methods.spotis.SPOTIS

Bases: pyrepo_mcda.mcda_methods.mcda_method.MCDA_method

__call__(matrix, weights, types, bounds)

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

Parameters

matrixndarray
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.

bounds: ndarray
Bounds is ndarray with 2 rows and number of columns equal to criteria number. Bounds contain minimum values in the first row and maximum values in the second row for each criterion. Minimum and maximum values for the same criterion cannot be the same.

Returns

ndrarray
Vector with preference values of each alternative. The best alternative has the lowest preference value.

Examples

>>> bounds_min = np.amin(matrix, axis = 0)
>>> bounds_max = np.amax(matrix, axis = 0)
>>> bounds = np.vstack((bounds_min, bounds_max))
>>> spotis = SPOTIS()
>>> pref = spotis(matrix, weights, types, bounds)
>>> rank = rank_preferences(pref, reverse = False)

static _spotis(matrix, weights, types, bounds)