aiub, aiedges)
# node inspection
node_insp = Node("Inspection" + str(ia + 1),
parents=None,
rvname='discrete')
node_insp.set_node_kind(DECISION_NODE)
node_insp.set_node_state_name(['no', 'insp1', 'insp2', 'insp3'])
# node mi
node_mi = create_node_mi("M" + str(ia + 1), [node_insp, node_ai],
minum, ailb, aiub, aiedges)
# node ui
node_ui = Node("Util_Insp" + str(ia + 1),
parents=[node_insp],
rvname='deterministic')
node_ui.set_node_kind(UTILITY_NODE)
node_ui.assign_func(inspection_utility)
# node repair
node_repair = Node("Repair" + str(ia + 1),
parents=[node_insp],
rvname='discrete')
node_repair.set_node_kind(DECISION_NODE)
node_repair.set_node_state_name(['no', 'repair'])
# node ur
node_ur = Node("Util_Repair" + str(ia + 1),
parents=[node_repair, node_ai],
rvname='deterministic')
node_ur.set_node_kind(UTILITY_NODE)
def repair_utility(pstate, node_ai=node_ai):
repairstate, aistate = pstate
acrstate = np.searchsorted(node_ai.bins, acrit + 1e-10) - 1
node_ai = create_node_a("A"+str(ia+1), [aarray[-1], node_k, node_m], ainum, ailb, aiub, aiedges,
node_repair=rarray[-1], asmp0=asmp0)
aarray.append(node_ai)
elif inspyear[ia]:
# node ai
node_ai = create_node_a("A"+str(ia+1), [aarray[-1], node_k, node_m], ainum, ailb, aiub, aiedges)
# node inspection
node_insp = Node("Inspection"+str(ia+1), parents=None, rvname='discrete')
node_insp.set_node_kind(DECISION_NODE)
node_insp.set_node_state_name(['no', 'insp1', 'insp2', 'insp3'])
# node mi
node_mi = create_node_mi("M"+str(ia+1), [node_insp, node_ai], minum, ailb, aiub, aiedges)
# node ui
node_ui = Node("Util_Insp"+str(ia+1), parents=[node_insp], rvname='deterministic')
node_ui.set_node_kind(UTILITY_NODE)
node_ui.assign_func(inspection_utility)
# node repair
node_repair = Node("Repair"+str(ia+1), parents=[node_insp], rvname='discrete')
node_repair.set_node_kind(DECISION_NODE)
node_repair.set_node_state_name(['no', 'repair'])
# node ur
node_ur = Node("Util_Repair"+str(ia+1), parents=[node_repair, node_ai], rvname='deterministic')
node_ur.set_node_kind(UTILITY_NODE)
def repair_utility(pstate, node_ai=node_ai):
repairstate, aistate = pstate
acrstate = np.searchsorted(node_ai.bins, acrit)-1
truncrv_ai = node_ai.truncate_rv(aistate, lmd=trunclmd)
if aistate<acrstate and repairstate == 0:
utilr = 0.
elif aistate<acrstate and repairstate == 1:
utilr = -Cinit
forecastcpt = np.array([[0.7, 0.2, 0.1], [0.15, 0.25, 0.6]])
forecast.assign_cpt(forecastcpt, statenames=['sunny', 'cloudy', 'rainy'])
# node umbrella
umbrella.set_node_state_name(['take_umbrella', 'dont_take_umbrella'])
# node satisfy
def calculate_util(pstate):
forecaststate,umbrellastate = pstate
if forecaststate==0 and umbrellastate==0:
return 20.
elif forecaststate==0 and umbrellastate==1:
return 100.
elif forecaststate==1 and umbrellastate==0:
return 70.
elif forecaststate==1 and umbrellastate==1:
return 0.
satisfy.assign_func(calculate_util)
# create new network
dbnet = Network("BNexample1")
# add nodes to network
dbnet.add_nodes([weather, forecast, umbrella, satisfy])
# add link: must before define nodes
dbnet.add_link()
# define nodes
dbnet.define_nodes()
# compile the net
dbnet.compile_net()
# enable autoupdate
dbnet.set_autoupdate()
# save the network
# node satisfy
def calculate_util(pstate):
forecaststate, umbrellastate = pstate
if forecaststate == 0 and umbrellastate == 0:
return 20.
elif forecaststate == 0 and umbrellastate == 1:
return 100.
elif forecaststate == 1 and umbrellastate == 0:
return 70.
elif forecaststate == 1 and umbrellastate == 1:
return 0.
satisfy.assign_func(calculate_util)
# create new network
dbnet = Network("BNexample1")
# add nodes to network
dbnet.add_nodes([weather, forecast, umbrella, satisfy])
# add link: must before define nodes
dbnet.add_link()
# define nodes
dbnet.define_nodes()
# compile the net
dbnet.compile_net()
# enable autoupdate
dbnet.set_autoupdate()
# save the network
