def test_normalize_priorities_1():
criteria_pr = np.array([[1.0], [2.0], [3.0]])
global_pr = np.array([1.0, 2.0, 3.0])
result = normalize_priorities(criteria_pr, global_pr)
expected = np.array([14.0])
assert np.array_equal(expected, result)
def get_priorities(self):
"""Get the priority of the nodes in the level below this node.
Returns:
Priorities at current level, normalized if an internal node.
"""
p_m = np.array(self.preference_matrices[self.p_m_key])
p_m = to_reciprocal_matrix(p_m)
sub_crit_pr = self.solver.estimate(p_m)
if self.leaf:
return sub_crit_pr
criteria_pr = [criterion.get_priorities() for criterion in self.sub_criteria]
return normalize_priorities(criteria_pr, sub_crit_pr)
def get_priorities(self, round_results=True, decimals=3):
"""Get the priority of the nodes in the level below this node.
Args:
round_results (bool): Return rounded priorities. Default is True.
decimals (int): Number of decimals to round to, ignored if `round_results=False`. Default is 3.
Returns:
Global priorities of the alternatives in the model, rounded to `decimals` positions if `round_results=True`.
"""
crit_pm = np.array(self.preference_matrices['criteria'])
crit_pr = self.solver.estimate(crit_pm)
crit_attr_pr = [criterion.get_priorities() for criterion in self.criteria]
priorities = normalize_priorities(crit_attr_pr, crit_pr)
if round_results:
return np.around(priorities, decimals=decimals)
return priorities
def get_priorities(self):
"""Get the priority of the nodes in the level below this node.
Returns:
Priorities at current level, normalized if an internal node.
"""
pp = pprint.PrettyPrinter(indent=4)
p_m = np.array(self.preference_matrices[self.p_m_key])
sub_crit_pr = self.solver.estimate(p_m)
pp.pprint(sub_crit_pr)
if self.leaf:
return sub_crit_pr
criteria_pr = [
criterion.get_priorities() for criterion in self.sub_criteria
]
pp.pprint(criteria_pr)
return normalize_priorities(criteria_pr, sub_crit_pr)