Python aa 예제들

예제 #1

def test_aa_t():

    h = fl.aa(0.8)

    assert 1 == h([1.0, 1.0, 1.0, 1.0])

    assert 0 == h([0.0, 0.0, 0.0, 0.0])

    # 0.2, 0.6, 0.7, 0.9
    # p = 0.8
    # a = p / (1.0 - p)
    # a = 4
    # 1.0 - ((((1.0-0.2)**(1.0/a)) + ((1.0-0.6)**(1.0/a)) + ((1.0-0.7)**(1.0/a)) + ((1.0-0.9)**(1.0/a))) / 4.0)**a
    # = 0.6649
    diff = 0.6649 - h([0.2, 0.6, 0.7, 0.9])
    assert diff < 0.0001

예제 #2

def test_aa_tco():

    h = fl.aa(0.2)

    assert 1 == h([1.0, 1.0, 1.0, 1.0])

    assert 0 == h([0.0, 0.0, 0.0, 0.0])

    # 0.2, 0.6, 0.7, 0.9
    # p = 0.2
    # a = (1.0 - p) / p
    # a = 4
    # (((0.2**a) + (0.6**a) + (0.7**a) + (0.9**a)) / 4.0)**(1.0/a)
    # = 0.7119
    diff = 0.7119 - h([0.2, 0.6, 0.7, 0.9])
    assert diff < 0.0001

예제 #3

파일: test_fuzzylogic.py 프로젝트: sorend/fylearn

def test_aa_t():

    h = fl.aa(0.8)

    assert 1 == h([1.0, 1.0, 1.0, 1.0])

    assert 0 == h([0.0, 0.0, 0.0, 0.0])

    # 0.2, 0.6, 0.7, 0.9
    # p = 0.8
    # a = p / (1.0 - p)
    # a = 4
    # 1.0 - ((((1.0-0.2)**(1.0/a)) + ((1.0-0.6)**(1.0/a)) + ((1.0-0.7)**(1.0/a)) + ((1.0-0.9)**(1.0/a))) / 4.0)**a
    # = 0.6649
    diff = 0.6649 - h([0.2, 0.6, 0.7, 0.9])
    assert diff < 0.0001

예제 #4

파일: test_fuzzylogic.py 프로젝트: sorend/fylearn

def test_aa_tco():

    h = fl.aa(0.2)

    assert 1 == h([1.0, 1.0, 1.0, 1.0])

    assert 0 == h([0.0, 0.0, 0.0, 0.0])

    # 0.2, 0.6, 0.7, 0.9
    # p = 0.2
    # a = (1.0 - p) / p
    # a = 4
    # (((0.2**a) + (0.6**a) + (0.7**a) + (0.9**a)) / 4.0)**(1.0/a)
    # = 0.7119
    diff = 0.7119 - h([0.2, 0.6, 0.7, 0.9])
    assert diff < 0.0001

예제 #5

def build_aiwa_operator(andness, m):
    return fl.aa(andness)

예제 #6

def test_aa_wrapper():

    sut = fl.aa(0.00000001)

    assert isinstance(sut, fl.AndnessDirectedAveraging)

예제 #7

파일: frr.py 프로젝트: sorend/fylearn

def build_aiwa_operator(andness, m):
    return fl.aa(andness)