Nonstationary Fuzzy Sets

This commit is contained in:
Petrônio Cândido 2017-09-29 16:00:51 -03:00
parent 71cbb84574
commit fa231740a5
7 changed files with 75 additions and 11 deletions

View File

@ -36,12 +36,19 @@ class MembershipFunction(object):
self.width_params = kwargs.get("width_params", None)
self.noise = kwargs.get("noise", None)
self.noise_params = kwargs.get("noise_params", None)
self.cache = {}
def perform_location(self, t, param):
if self.location is None:
return param
inc = self.location(t, self.location_params)
if not isinstance(self.location, (list,set)):
self.location = [self.location]
self.location_params = [self.location_params]
l = len(self.location)
inc = sum([self.location[k](t, self.location_params[k]) for k in np.arange(0,l)] )
if self.mf == Membership.gaussmf:
#changes only the mean parameter
@ -59,7 +66,13 @@ class MembershipFunction(object):
if self.width is None:
return param
inc = self.width(t, self.width_params)
if not isinstance(self.width, (list, set)):
self.width = [self.width]
self.width_params = [self.width_params]
l = len(self.width)
inc = sum([self.width[k](t, self.width_params[k]) for k in np.arange(0, l)])
if self.mf == Membership.gaussmf:
#changes only the variance parameter
@ -68,12 +81,12 @@ class MembershipFunction(object):
#changes only the smooth parameter
return [param[0] + inc, param[1]]
elif self.mf == Membership.trimf:
return [param[0] + inc, param[1], param[2] - inc]
return [param[0] - inc, param[1], param[2] + inc]
elif self.mf == Membership.trapmf:
l = (param[3]-param[0])
rab = (param[1] - param[0]) / l
rcd = (param[3] - param[2]) / l
return [param[0] + inc, param[1] + inc*rab, param[2] - inc*rcd, param[3] - inc]
return [param[0] - inc, param[1] - inc*rab, param[2] + inc*rcd, param[3] + inc]
else:
return param
@ -84,11 +97,13 @@ class MembershipFunction(object):
:return: membership value of x at this fuzzy set
"""
if t not in self.cache:
param = self.parameters
param = self.perform_location(t, param)
param = self.perform_width(t, param)
self.cache[t] = param
tmp = self.mf(x, param)
tmp = self.mf(x, self.cache[t])
if self.noise is not None:
tmp += self.noise(t, self.noise_params)

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@ -0,0 +1,25 @@
import numpy as np
import pandas as pd
import matplotlib as plt
import matplotlib.colors as pltcolors
import matplotlib.pyplot as plt
from pyFTS.common import Membership, Util
def plot_sets(uod, sets, num=10, tam=[5, 5], colors=None, save=False, file=None):
ticks = []
fig, axes = plt.subplots(nrows=1, ncols=1, figsize=tam)
for t in np.arange(0,num,1):
for ct, set in enumerate(sets):
x = [2*t + set.membership(v, t) for v in uod]
if colors is not None: c = colors[ct]
axes.plot(x, uod, c=c)
ticks.extend(["t+"+str(t),""])
axes.set_ylabel("Universe of Discourse")
axes.set_xlabel("Time")
plt.xticks([k for k in np.arange(0,2*num,1)], ticks, rotation='vertical')
plt.tight_layout()
Util.showAndSaveImage(fig, file, save)

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@ -11,6 +11,7 @@ all_methods = [Grid.GridPartitioner, Entropy.EntropyPartitioner, FCM.FCMPartitio
mfs = [Membership.trimf, Membership.gaussmf, Membership.trapmf]
def plot_sets(data, sets, titles, tam=[12, 10], save=False, file=None):
num = len(sets)
#fig = plt.figure(figsize=tam)

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@ -1,7 +1,8 @@
import numpy as np
import pandas as pd
from enum import Enum
from pyFTS.common import FuzzySet
from pyFTS.common import FuzzySet, Membership
from pyFTS.partitioners import partitioner, Grid
class DateTime(Enum):

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@ -0,0 +1,20 @@
import numpy as np
from pyFTS.common import Membership
from pyFTS.nonstationary import common,pertubation,util
import importlib
importlib.reload(util)
uod = np.arange(0,20,0.1)
kwargs = {'location': pertubation.linear, 'location_params': [1,0],
'width': pertubation.linear, 'width_params': [1,0]}
mf1 = common.MembershipFunction('A1',Membership.trimf,[0,1,2], **kwargs)
mf2 = common.MembershipFunction('A2',Membership.trimf,[1,2,3], **kwargs)
mf3 = common.MembershipFunction('A3',Membership.trimf,[2,3,4], **kwargs)
mf4 = common.MembershipFunction('A4',Membership.trimf,[3,4,5], **kwargs)
sets = [mf1, mf2, mf3, mf4]
util.plot_sets(uod, sets)

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@ -1,7 +1,9 @@
from distutils.core import setup
setup(
name = 'pyFTS',
packages = ['pyFTS','pyFTS.benchmarks','pyFTS.common','pyFTS.data', 'pyFTS.ensemble','pyFTS.models','pyFTS.models.seasonal','pyFTS.partitioners','pyFTS.probabilistic','pyFTS.tests'],
packages = ['pyFTS','pyFTS.benchmarks','pyFTS.common','pyFTS.data', 'pyFTS.ensemble',
'pyFTS.models','pyFTS.seasonal','pyFTS.partitioners','pyFTS.probabilistic',
'pyFTS.tests','pyFTS.nonstationary'],
package_data = {'benchmarks':['*'], 'common':['*'], 'data':['*'], 'ensemble':['*'], 'models':['*'], 'seasonal':['*'], 'partitioners':['*'], 'probabilistic':['*'], 'tests':['*']},
version = '1.1.1',
description = 'Fuzzy Time Series for Python',