def test_ahp(self):
rank = [1, 3, 2]
points = [0.4177, 0.2660, 0.3164]
crit_vs_crit = ahp.t([
[1.], [1./3., 1.], [1./3., 1./2., 1.]
])
alt_vs_alt_by_crit = [
ahp.t([[1.], [1./5., 1.], [1./3., 3., 1.]]),
ahp.t([[1.], [9., 1.], [3., 1./5., 1.]]),
ahp.t([[1.], [1/2., 1.], [5., 7., 1.]]),
]
result = ahp.ahp(crit_vs_crit, alt_vs_alt_by_crit)
rank_result, points_result = result[:2]
self.assertAllClose(points_result, points, atol=1.e-3)
self.assertAllClose(rank_result, rank)
rx = (
"The number 'alt_vs_alt_by_crit' must be "
"the number of criteria '{}'. Found"
).format(3, len(alt_vs_alt_by_crit))
rx = rx.replace("(", r"\(").replace(")", r"\)").replace(".", r"\.")
with self.assertRaisesRegexp(ValueError, rx):
ahp.ahp(crit_vs_crit, alt_vs_alt_by_crit[1:])
def test_cr(self):
ic = 0.02695218060897031
cr = 0.051829169847109106
crit_vs_crit = ahp.t([[1.], [1. / 3., 1.], [1. / 3., 1. / 2., 1.]])
ic_result, cr_result = ahp.saaty_cr(crit_vs_crit)[:2]
import ipdb
ipdb.set_trace()
self.assertAllClose(ic, ic_result, atol=1.e-3)
self.assertAllClose(cr, cr_result, atol=1.e-3)
def test_t(self):
tmtx = [[1], [1, 2, 3]]
rx = ("The low triangular matrix for AHP must "
"have the same number of columns and rows")
with self.assertRaisesRegexp(ValueError, rx):
ahp.t(tmtx)
tmtx = [[1], [1., 1], [1 / 3.0, 1 / 6.0, 1]]
mtx = ahp.t(tmtx)
for ridx, row in enumerate(tmtx):
for cidx, value in enumerate(row):
if not np.isclose(mtx[ridx][cidx], value, atol=1.e-10):
self.fail("Incorect triangular matrix construct")
mtxtype = random.choice(
[ahp.MTX_TYPE_CRITERIA, ahp.MTX_TYPE_ALTERNATIVES])
ahp.validate_ahp_matrix(3, mtx, mtxtype)
def test_cr(self):
ic = 0.02695218060897031
cr = 0.051829169847109106
crit_vs_crit = ahp.t([
[1.], [1./3., 1.], [1./3., 1./2., 1.]
])
ic_result, cr_result = ahp.saaty_cr(crit_vs_crit)[:2]
import ipdb; ipdb.set_trace()
self.assertAllClose(ic, ic_result, atol=1.e-3)
self.assertAllClose(cr, cr_result, atol=1.e-3)
def test_t(self):
tmtx = [[1], [1, 2, 3]]
rx = ("The low triangular matrix for AHP must "
"have the same number of columns and rows")
with self.assertRaisesRegexp(ValueError, rx):
ahp.t(tmtx)
tmtx = [[1],
[1., 1],
[1/3.0, 1/6.0, 1]]
mtx = ahp.t(tmtx)
for ridx, row in enumerate(tmtx):
for cidx, value in enumerate(row):
if not np.isclose(mtx[ridx][cidx], value, atol=1.e-10):
self.fail("Incorect triangular matrix construct")
mtxtype = random.choice([ahp.MTX_TYPE_CRITERIA,
ahp.MTX_TYPE_ALTERNATIVES])
ahp.validate_ahp_matrix(3, mtx, mtxtype)
def test_ahp(self):
rank = [1, 3, 2]
points = [0.4177, 0.2660, 0.3164]
crit_vs_crit = ahp.t([[1.], [1. / 3., 1.], [1. / 3., 1. / 2., 1.]])
alt_vs_alt_by_crit = [
ahp.t([[1.], [1. / 5., 1.], [1. / 3., 3., 1.]]),
ahp.t([[1.], [9., 1.], [3., 1. / 5., 1.]]),
ahp.t([[1.], [1 / 2., 1.], [5., 7., 1.]]),
]
result = ahp.ahp(crit_vs_crit, alt_vs_alt_by_crit)
rank_result, points_result = result[:2]
self.assertAllClose(points_result, points, atol=1.e-3)
self.assertAllClose(rank_result, rank)
rx = ("The number 'alt_vs_alt_by_crit' must be "
"the number of criteria '{}'. Found").format(
3, len(alt_vs_alt_by_crit))
rx = rx.replace("(", r"\(").replace(")", r"\)").replace(".", r"\.")
with self.assertRaisesRegexp(ValueError, rx):
ahp.ahp(crit_vs_crit, alt_vs_alt_by_crit[1:])