public override a_Fuzzy_System Generate(a_Fuzzy_System Approximate, Abstract_generator_conf config)
{
type_alg = ((k_mean_rules_generator_conf)config).Алгоритм;
count_rules = ((k_mean_rules_generator_conf)config).Количество_правил;
type_func = ((k_mean_rules_generator_conf)config).Функция_принадлежности;
nebulisation_factor = ((k_mean_rules_generator_conf)config).Экспоненциальный_вес_алгоритма;
Max_iteration = ((k_mean_rules_generator_conf)config).Итераций;
need_precision = ((k_mean_rules_generator_conf)config).Точность;
k_mean_base K_Agl = null;
switch (type_alg)
{
case Type_k_mean_algorithm.Gath_geva: K_Agl = new k_mean_Gath_Geva(Approximate.Learn_Samples_set, Max_iteration, need_precision, count_rules, nebulisation_factor); break;
case Type_k_mean_algorithm.Gustafson_Kessel: K_Agl = new k_mean_Gustafson_kessel(Approximate.Learn_Samples_set, Max_iteration, need_precision, count_rules, nebulisation_factor); break;
case Type_k_mean_algorithm.FCM: K_Agl = new k_mean_base(Approximate.Learn_Samples_set, Max_iteration, need_precision, count_rules, nebulisation_factor); break;
}
K_Agl.Calc();
Knowlege_base_ARules New_Rules = new Knowlege_base_ARules();
for (int i = 0; i < count_rules; i++)
{
int [] order_terms = new int [Approximate.Learn_Samples_set.Count_Vars];
List <Term> term_set = new List <Term>();
for (int j = 0; j < Approximate.Learn_Samples_set.Count_Vars; j++)
{
Term temp_term = Term.Make_Term(K_Agl.Centroid_cordinate_S[i][j], Math.Sqrt(Calc_distance_for_member_ship_function_for_Clust(i, j, K_Agl)) * 3, type_func, j);
term_set.Add(temp_term);
}
New_Rules.constuct__and_add_the_Rule(term_set, Approximate);
}
a_Fuzzy_System Result = Approximate;
if (Result.Rulles_Database_Set.Count > 0)
{
Result.Rulles_Database_Set[0] = New_Rules;
}
else
{
Result.Rulles_Database_Set.Add(New_Rules);
}
Result.unlaid_protection_fix();
GC.Collect();
return(Result);
}
public override a_Fuzzy_System Generate(a_Fuzzy_System Approximate, Abstract_generator_conf config)
{
a_Fuzzy_System result = Approximate;
init_everyone_with_everyone config1 = config as init_everyone_with_everyone;
type_func = config1.Функция_принадлежности;
count_slice_vars = config1.Количество_термов_для_каждого_признака;
result.Init_Rules_everyone_with_everyone(type_func, count_slice_vars);
return(result);
}
abstract public a_Fuzzy_System Generate(a_Fuzzy_System Approximate, Abstract_generator_conf config);
public override c_Fuzzy_System Generate(Fuzzy_system.Class_Pittsburgh.c_Fuzzy_System Classifier, Abstract_generator_conf config)
{
Random rand = new Random();
c_Fuzzy_System result = Classifier;
if (result.Count_Rulles_Databases == 0)
{
Knowlege_base_CRules temp_rules = new Knowlege_base_CRules();
result.Rulles_Database_Set.Add(temp_rules);
}
Type_Term_Func_Enum type_term = ((Generator_Rulles_simple_random_conf)config).Функция_принадлежности;
int stable_terms = (int)((Generator_Rulles_simple_random_conf)config).Тип_Термов;
int count_rules = ((Generator_Rulles_simple_random_conf)config).Количество_правил;
for (int j = 0; j < count_rules; j++)
{
int[] order = new int[result.Count_Vars];
Type_Term_Func_Enum temp_type_term;
if (stable_terms == 0)
{
temp_type_term = type_term;
}
else
{
temp_type_term = Generator_type_term();
}
List <Term> temp_term_list = new List <Term>();
for (int k = 0; k < result.Count_Vars; k++)
{
double[] parametrs = new double[c_Fuzzy_System.Count_Params_For_Term(temp_type_term)];
switch (temp_type_term)
{
case Type_Term_Func_Enum.Треугольник:
parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[2] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
case Type_Term_Func_Enum.Гауссоида: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = (rand.NextDouble() + 0.01) * 0.5 *
(result.Learn_Samples_set.Attribute_Max(k) -
result.Learn_Samples_set.Attribute_Min(k));
break;
case Type_Term_Func_Enum.Парабола: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
case Type_Term_Func_Enum.Трапеция: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[2] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[3] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
}
Term temp_term = new Term(parametrs, temp_type_term, k);
result.Rulles_Database_Set[0].Terms_Set.Add(temp_term);
temp_term_list.Add(temp_term);
order[k] = result.Rulles_Database_Set[0].Terms_Set.Count - 1;
}
string class_label = result.Nearest_Class(temp_term_list);
CRule temp_Rule = new CRule(result.Rulles_Database_Set[0].Terms_Set, order, class_label, 1.0);
result.Rulles_Database_Set[0].Rules_Database.Add(temp_Rule);
}
result.unlaid_protection_fix();
return(result);
}
public void Init_Rules_everyone_with_everyone(Abstract_generator_conf conf)
{
}
public void Set_count_add_generator(int count_used_Algorithm)
{
Rules_generator_conf = new Abstract_generator_conf[count_used_Algorithm];
Rules_generator_type = new add_generator_for_Singleton[count_used_Algorithm];
}
public override a_Fuzzy_System Generate(Fuzzy_system.Approx_Singletone.a_Fuzzy_System Approximate, Abstract_generator_conf config)
{
Random rand = new Random();
a_Fuzzy_System result = Approximate;
if (result.Count_Rulles_Databases == 0)
{
Knowlege_base_ARules temp_rules = new Knowlege_base_ARules();
result.Rulles_Database_Set.Add(temp_rules);
}
type_term = ((Generator_Rulles_simple_random_conf)config).Функция_принадлежности;
stable_terms = (int)((Generator_Rulles_simple_random_conf)config).Тип_Термов;
count_rules = ((Generator_Rulles_simple_random_conf)config).Количество_правил;
for (int j = 0; j < count_rules; j++)
{
int[] order = new int[result.Count_Vars];
Type_Term_Func_Enum temp_type_term;
if (stable_terms == 0)
{
temp_type_term = type_term;
}
else
{
temp_type_term = Generator_type_term();
}
List <Term> temp_term_list = new List <Term>();
for (int k = 0; k < result.Count_Vars; k++)
{
double[] parametrs = new double[Member_Function.Count_Params_For_Term(temp_type_term)];
switch (temp_type_term)
{
case Type_Term_Func_Enum.Треугольник:
parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[2] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
case Type_Term_Func_Enum.Гауссоида: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = (rand.NextDouble() + 0.01) * 0.5 *
(result.Learn_Samples_set.Attribute_Max(k) -
result.Learn_Samples_set.Attribute_Min(k));
break;
case Type_Term_Func_Enum.Парабола: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
case Type_Term_Func_Enum.Трапеция: parametrs[0] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[1] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[2] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
parametrs[3] = result.Learn_Samples_set.Attribute_Min(k) + rand.NextDouble() * (result.Learn_Samples_set.Attribute_Max(k) - result.Learn_Samples_set.Attribute_Min(k));
Array.Sort(parametrs);
break;
}
Term temp_term = new Term(parametrs, temp_type_term, k);
result.Rulles_Database_Set[0].Terms_Set.Add(temp_term);
temp_term_list.Add(temp_term);
order[k] = result.Rulles_Database_Set[0].Terms_Set.Count - 1;
}
double approx_Value = result.Nearest_Approx(temp_term_list);
ARule temp_Rule = new ARule(result.Rulles_Database_Set[0].Terms_Set, order, approx_Value);
result.Rulles_Database_Set[0].Rules_Database.Add(temp_Rule);
}
result.unlaid_protection_fix();
GC.Collect();
return(result);
}
public override a_Fuzzy_System Generate(Fuzzy_system.Approx_Singletone.a_Fuzzy_System Approximate, Abstract_generator_conf config)
{
start_add_rules = Approximate.Count_Rulles_Databases;
a_Fuzzy_System result = Approximate;
if (result.Count_Rulles_Databases == 0)
{
result.Init_Rules_everyone_with_everyone(config);
}
Request_count_rules = ((Rulles_shrink_conf)config).Нужно_Правил;
max_count_rules = ((Rulles_shrink_conf)config).Максимально_Правил;
count_slices = ((Rulles_shrink_conf)config).Количество_термов_для_каждого_признака;
min_count_rules = ((Rulles_shrink_conf)config).Минимально_Правил;
type_term = ((Rulles_shrink_conf)config).Функция_принадлежности;
int count_of_swith_off = ((Rulles_shrink_conf)config).Максимально_Правил - Request_count_rules;
List <byte> Varians_of_run_system = new List <byte>();
for (int i = 0; i < Approximate.Rulles_Database_Set[0].Rules_Database.Count; i++)
{
Varians_of_run_system.Add(1);
}
for (int i = 0; i < count_of_swith_off; i++)
{
Varians_of_run_system[i] = 0;
}
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Knowlege_base_ARules temp_rules = new Knowlege_base_ARules(result.Rulles_Database_Set[0], Pull_of_systems[i]);
temp_rules.trim_not_used_Terms();
result.Rulles_Database_Set.Add(temp_rules);
result.unlaid_protection_fix(start_add_rules + i);
errors_of_systems.Add(result.approx_Learn_Samples(start_add_rules + i));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
Knowlege_base_ARules best = result.Rulles_Database_Set[start_add_rules + best_index];
result.Rulles_Database_Set.Clear();
result.Rulles_Database_Set.Add(best);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.unlaid_protection_fix();
return(result);
}
abstract public c_Fuzzy_System Generate(c_Fuzzy_System Classifier, Abstract_generator_conf config);
public override a_Fuzzy_System Generate(Fuzzy_system.Approx_Singletone.a_Fuzzy_System Approximate, Abstract_generator_conf config)
{
a_Fuzzy_System result = Approximate;
if (result.Count_Rulles_Databases == 0)
{
result.Init_Rules_everyone_with_everyone(config);
}
count_shrink = ((Term_shrink_and_rotate_conf)config).Число_параметров_для_уменьшения_термов;
size_shrink = ((Term_shrink_and_rotate_conf)config).Значение_уменьшения_термов;
type_func = ((Term_shrink_and_rotate_conf)config).Функция_принадлежности;
count_slices = ((Term_shrink_and_rotate_conf)config).Количество_термов_для_каждого_признака;
List <int> Varians_of_run_system = new List <int>();
for (int i = 0; i < Approximate.Count_Vars; i++)
{
int count_terms_for_var = Approximate.Rulles_Database_Set[0].Terms_Set.FindAll(x => x.Number_of_Input_Var == i).Count;
if (i < count_shrink)
{
Varians_of_run_system.Add(count_terms_for_var - size_shrink);
}
else
{
Varians_of_run_system.Add(count_terms_for_var);
}
}
Varians_of_run_system.Sort();
Type_Term_Func_Enum type_of_term = Approximate.Rulles_Database_Set[0].Terms_Set[0].Term_Func_Type;
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Approximate.Rulles_Database_Set.Clear();
Approximate.Init_Rules_everyone_with_everyone(type_of_term, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Approximate.Rulles_Database_Set[0]);
errors_of_systems.Add(result.approx_Learn_Samples(0));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.Rulles_Database_Set.Clear();
result.Rulles_Database_Set.Add(Systems_ready_to_test[best_index]);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.unlaid_protection_fix();
return(result);
}
