def init():
global universal_set, fuzzy_sets, scales, fuzzy_colors
scales = ["дешево", "терпимо", "дорого", "очень дорого"]
for scale in scales:
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[scale] = color
#
universal_set = list(np.arange(30, 95, 0.25))
universal_set = [np.float64(x).item() for x in universal_set]
#
trapezoid_dict = dict()
triangular_dict = dict()
#
trapezoid.add_rating_linguistic_scale(30.0, 35.0, 40.0, 50.0, "дешево",
trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(40.0, 45.0, 50.0, 55.0, "терпимо",
trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(50.0, 55.0, 60.0, 65.0, "дорого",
trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(60.0, 65.0, 70.0, 75.0,
"очень дорого", trapezoid_dict,
universal_set)
#
triangular.add_rating_linguistic_scale(30.0, 40.0, 50.0, "дешево",
triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(40.0, 47.5, 55.0, "терпимо",
triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(50.0, 57.5, 65.0, "дорого",
triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(60.0, 67.5, 75.0, "очень дорого",
triangular_dict, universal_set)
#
fuzzy_sets["trapezoid"] = trapezoid_dict
fuzzy_sets["triangular"] = triangular_dict
return
def init():
global universal_set, \
fuzzy_sets, scales, \
fuzzy_colors, trapezoid_accessory_table, \
trapezoid_fuzzy_time_series, \
trapezoid_intensity, \
trapezoid_series_trends, \
clear_time_series, \
triangular_accessory_table, \
triangular_fuzzy_time_series, \
triangular_series_trends, \
triangular_intensity
#
clear_time_series = read('main_series.csv', clear_time_series)
#
scales = ["дешево", "терпимо", "дорого", "очень дорого"]
for scale in scales:
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[scale] = color
#
universal_set = list(np.arange(30, 95, 0.25))
universal_set = [np.float64(x).item() for x in universal_set]
#
trapezoid_dict = dict()
triangular_dict = dict()
#
trapezoid.add_rating_linguistic_scale(30.0, 35.0, 40.0, 45.0, "дешево", trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(40.0, 45.0, 50.0, 55.0, "терпимо", trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(50.0, 55.0, 60.0, 65.0, "дорого", trapezoid_dict, universal_set)
trapezoid.add_rating_linguistic_scale(60.0, 65.0, 70.0, 75.0, "очень дорого", trapezoid_dict, universal_set)
#
triangular.add_rating_linguistic_scale(30.0, 37.5, 45.0, "дешево", triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(40.0, 47.5, 55.0, "терпимо", triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(50.0, 57.5, 65.0, "дорого", triangular_dict, universal_set)
triangular.add_rating_linguistic_scale(60.0, 67.5, 75.0, "очень дорого", triangular_dict, universal_set)
#
fuzzy_sets["trapezoid"] = trapezoid_dict
fuzzy_sets["triangular"] = triangular_dict
#
#
#
trapezoid_accessory_table = trapezoid.create_accessory_table(fuzzy_sets["trapezoid"], clear_time_series,
universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"], clear_time_series)
#
#
#
triangular_accessory_table = triangular.create_accessory_table(fuzzy_sets["triangular"], clear_time_series,
universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"], clear_time_series)
#
return
def input_parser(input_string):
global universal_set, \
fuzzy_sets, scales, \
fuzzy_colors, trapezoid_accessory_table, \
trapezoid_fuzzy_time_series, \
trapezoid_intensity, \
trapezoid_series_trends, \
clear_time_series, \
triangular_accessory_table, \
triangular_fuzzy_time_series, \
triangular_series_trends, \
triangular_intensity
#
split = input_string.split(";")
com = split[0].split(":")[1]
if com == "[fit]":
args = split[1].split(":")[1].replace("[", "").replace("]", "").split(",")
n = int(args[2])
fit_type = args[1]
predict = None
if args[0] == "td":
if fit_type == "nvr":
songModel = song.SongModel(
max_learn_deep=n,
clear_time_series=clear_time_series,
accessory_table=trapezoid_accessory_table,
fuzzy_scores=trapezoid_accessory_table[0],
explored_field=song.ExploredField.NVR,
rule_convert_from_trend_to_score=None
)
songModel.fit(trapezoid_fuzzy_time_series)
predict = songModel.predict_next()
print(predict)
if fit_type == "trends":
songModel = song.SongModel(
max_learn_deep=2,
clear_time_series=clear_time_series,
accessory_table=trapezoid_accessory_table,
fuzzy_scores=trapezoid_accessory_table[0],
explored_field=song.ExploredField.Trends,
rule_convert_from_trend_to_score=dict(
удешевление=1,
удорожание=-1,
стабильность=0
)
)
songModel.fit(trapezoid_series_trends)
predict = songModel.predict_next(nvr=trapezoid_fuzzy_time_series)
print(predict)
if args[0] == "tr":
if fit_type == "nvr":
songModel = song.SongModel(
max_learn_deep=n,
clear_time_series=clear_time_series,
accessory_table=triangular_accessory_table,
fuzzy_scores=triangular_accessory_table[0],
explored_field=song.ExploredField.NVR,
rule_convert_from_trend_to_score=None
)
songModel.fit(triangular_fuzzy_time_series)
predict = songModel.predict_next()
print(predict)
if fit_type == "trends":
songModel = song.SongModel(
max_learn_deep=2,
clear_time_series=clear_time_series,
accessory_table=triangular_accessory_table,
fuzzy_scores=triangular_accessory_table[0],
explored_field=song.ExploredField.Trends,
rule_convert_from_trend_to_score=dict(
удешевление=1,
удорожание=-1,
стабильность=0
)
)
songModel.fit(triangular_series_trends)
predict = songModel.predict_next(nvr=triangular_fuzzy_time_series)
print(predict)
min_ = float(0xFFFFFF)
next_ = 0.0
for deep, info in predict.items():
if info["mape"] < min_:
min_ = info["mape"]
next_ = info["predict"]
lst_ind = clear_time_series[-1][0] + 1
clear_time_series.append(
[lst_ind, next_]
)
trapezoid_accessory_table = trapezoid.create_accessory_table(fuzzy_sets["trapezoid"], clear_time_series,
universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"], clear_time_series)
triangular_accessory_table = triangular.create_accessory_table(fuzzy_sets["triangular"], clear_time_series,
universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"], clear_time_series)
if com == "[show]":
args = split[1].split(":")[1].replace("[", "").replace("]", "")
if args == "all":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if args == "td":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
series.show_fuzzy_time_series(fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series, fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if args == "tr":
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
series.show_fuzzy_time_series(fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[update]" or com == "[add]":
args = split[1].split(":")[1].replace("[", "").replace("]", "").split(",")
f = args[0]
name = args[1]
if com == "[update]":
if f == "td":
trapezoid.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name
)
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
trapezoid_accessory_table = trapezoid.create_accessory_table(fuzzy_sets["trapezoid"], clear_time_series,
universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"], clear_time_series)
series.show_fuzzy_time_series(fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if f == "tr":
triangular.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name
)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular_accessory_table = triangular.create_accessory_table(fuzzy_sets["triangular"],
clear_time_series,
universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"])
series.show_fuzzy_time_series(fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[add]":
if f == "td":
trapezoid.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name
)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
trapezoid_accessory_table = trapezoid.create_accessory_table(fuzzy_sets["trapezoid"], clear_time_series,
universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"], clear_time_series)
series.show_fuzzy_time_series(fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if f == "tr":
triangular.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name
)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular_accessory_table = triangular.create_accessory_table(fuzzy_sets["triangular"],
clear_time_series,
universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"])
series.show_fuzzy_time_series(fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[predict]":
args = split[1].split(":")[1].replace("[", "").replace("]", "").split(",")
f = args[0]
name = args[1]
x = float(args[2])
if f == "td":
q = trapezoid.predict(
x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name
)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name, " = ", q * 100, "%")
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if f == "tr":
q = triangular.predict(
x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name
)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name, " = ", q * 100, "%")
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"], fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
return
def input_parser(input_string):
split = input_string.split(";")
com = split[0].split(":")[1]
if com == "[show]":
args = split[1].split(":")[1].replace("[", "").replace("]", "")
if args == "all":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if args == "td":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if args == "tr":
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if com == "[update]" or com == "[add]":
args = split[1].split(":")[1].replace("[", "").replace("]",
"").split(",")
f = args[0]
name = args[1]
if com == "[update]":
if f == "td":
trapezoid.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if f == "tr":
triangular.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if com == "[add]":
if f == "td":
trapezoid.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if f == "tr":
triangular.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if com == "[predict]":
args = split[1].split(":")[1].replace("[", "").replace("]",
"").split(",")
f = args[0]
name = args[1]
x = float(args[2])
if f == "td":
q = trapezoid.predict(x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name,
" = ", q * 100, "%")
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if f == "tr":
q = triangular.predict(x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name,
" = ", q * 100, "%")
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
return
def input_parser(input_string):
global universal_set, \
fuzzy_sets, scales, \
fuzzy_colors, trapezoid_accessory_table, \
trapezoid_fuzzy_time_series, \
trapezoid_intensity, \
trapezoid_series_trends, \
clear_time_series, \
triangular_accessory_table, \
triangular_fuzzy_time_series, \
triangular_series_trends, \
triangular_intensity
#
split = input_string.split(";")
com = split[0].split(":")[1]
if com == "[show]":
args = split[1].split(":")[1].replace("[", "").replace("]", "")
if args == "all":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if args == "td":
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
series.show_fuzzy_time_series(
fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(
series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if args == "tr":
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
series.show_fuzzy_time_series(
fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(
series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[update]" or com == "[add]":
args = split[1].split(":")[1].replace("[", "").replace("]",
"").split(",")
f = args[0]
name = args[1]
if com == "[update]":
if f == "td":
trapezoid.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
trapezoid_accessory_table = trapezoid.create_accessory_table(
fuzzy_sets["trapezoid"], clear_time_series, universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"],
clear_time_series)
series.show_fuzzy_time_series(
fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(
series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if f == "tr":
triangular.update_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular_accessory_table = triangular.create_accessory_table(
fuzzy_sets["triangular"], clear_time_series, universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"])
series.show_fuzzy_time_series(
fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(
series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[add]":
if f == "td":
trapezoid.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
d=float(args[5]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
trapezoid_accessory_table = trapezoid.create_accessory_table(
fuzzy_sets["trapezoid"], clear_time_series, universal_set)
trapezoid_fuzzy_time_series, trapezoid_series_trends, trapezoid_intensity = series.analysis_time_series(
trapezoid_accessory_table, fuzzy_sets["trapezoid"],
clear_time_series)
series.show_fuzzy_time_series(
fuzzy_time_series_table=trapezoid_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["trapezoid"])
series.show_series_trends(
series_trends_table=trapezoid_series_trends,
clear_time_series_table=clear_time_series)
if f == "tr":
triangular.add_rating_linguistic_scale(
a=float(args[2]),
b=float(args[3]),
c=float(args[4]),
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
fuzzy_colors[name] = color
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
triangular_accessory_table = triangular.create_accessory_table(
fuzzy_sets["triangular"], clear_time_series, universal_set)
triangular_fuzzy_time_series, triangular_series_trends, triangular_intensity = series.analysis_time_series(
triangular_accessory_table, fuzzy_sets["triangular"])
series.show_fuzzy_time_series(
fuzzy_time_series_table=triangular_fuzzy_time_series,
clear_time_series_table=clear_time_series,
fuzzy_sets=fuzzy_sets["triangular"])
series.show_series_trends(
series_trends_table=triangular_series_trends,
clear_time_series_table=clear_time_series)
if com == "[predict]":
args = split[1].split(":")[1].replace("[", "").replace("]",
"").split(",")
f = args[0]
name = args[1]
x = float(args[2])
if f == "td":
q = trapezoid.predict(x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["trapezoid"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name,
" = ", q * 100, "%")
trapezoid.show_plot(fuzzy_sets=fuzzy_sets["trapezoid"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
if f == "tr":
q = triangular.predict(x=x,
universal_set=universal_set,
fuzzy_sets=fuzzy_sets["triangular"],
name=name)
color = "#" + "%06x" % random.randint(0, 0xFFFFFF)
plt.plot(x, q, 'ro', label=split[1], color=color)
print("\t\t->Принадлежность объкта ", x, " множеству ", name,
" = ", q * 100, "%")
triangular.show_plot(fuzzy_sets=fuzzy_sets["triangular"],
fuzzy_colors=fuzzy_colors,
universal_set=universal_set)
return