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