diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
index f7e04f0..99d8305 100644
Binary files a/docs/build/doctrees/environment.pickle and b/docs/build/doctrees/environment.pickle differ
diff --git a/pyFTS/models/chen.py b/pyFTS/models/chen.py
index e53be8d..9f70968 100644
--- a/pyFTS/models/chen.py
+++ b/pyFTS/models/chen.py
@@ -50,7 +50,7 @@ class ConventionalFTS(fts.FTS):
 
     def train(self, data, **kwargs):
 
-        tmpdata = FuzzySet.fuzzyfy(data, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(data, method='maximum', mode='sets')
         flrs = FLR.generate_non_recurrent_flrs(tmpdata)
         self.generate_flrg(flrs)
 
diff --git a/pyFTS/models/ismailefendi.py b/pyFTS/models/ismailefendi.py
index 195af58..237a973 100644
--- a/pyFTS/models/ismailefendi.py
+++ b/pyFTS/models/ismailefendi.py
@@ -63,7 +63,7 @@ class ImprovedWeightedFTS(fts.FTS):
 
     def train(self, ndata, **kwargs):
 
-        tmpdata = FuzzySet.fuzzyfy(ndata, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(ndata, method='maximum', mode='sets')
         flrs = FLR.generate_recurrent_flrs(tmpdata)
         self.generate_flrg(flrs)
 
diff --git a/pyFTS/models/sadaei.py b/pyFTS/models/sadaei.py
index 8d5cc31..baca8e9 100644
--- a/pyFTS/models/sadaei.py
+++ b/pyFTS/models/sadaei.py
@@ -67,7 +67,7 @@ class ExponentialyWeightedFTS(fts.FTS):
                 self.flrgs[flr.LHS].append_rhs(flr.RHS)
 
     def train(self, data, **kwargs):
-        tmpdata = FuzzySet.fuzzyfy(data, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(data, method='maximum', mode='sets')
         flrs = FLR.generate_recurrent_flrs(tmpdata)
         self.generate_flrg(flrs, self.c)
 
diff --git a/pyFTS/models/song.py b/pyFTS/models/song.py
index 874c67f..1776e8c 100644
--- a/pyFTS/models/song.py
+++ b/pyFTS/models/song.py
@@ -50,7 +50,7 @@ class ConventionalFTS(fts.FTS):
 
     def train(self, data, **kwargs):
 
-        tmpdata = FuzzySet.fuzzyfy(data, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(data, method='maximum', mode='sets')
         flrs = FLR.generate_non_recurrent_flrs(tmpdata)
         self.operation_matrix(flrs)
 
diff --git a/pyFTS/models/tsaur.py b/pyFTS/models/tsaur.py
index 539d1cd..7d3535f 100644
--- a/pyFTS/models/tsaur.py
+++ b/pyFTS/models/tsaur.py
@@ -68,7 +68,7 @@ class MarkovWeightedFTS(fts.FTS):
                 self.flrgs[flr.LHS].append_rhs(flr.RHS)
 
     def train(self, data, **kwargs):
-        tmpdata = FuzzySet.fuzzyfy(data, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(data, method='maximum', mode='sets')
         flrs = FLR.generate_recurrent_flrs(tmpdata)
         self.generate_flrg(flrs)
 
diff --git a/pyFTS/models/yu.py b/pyFTS/models/yu.py
index b2bd7fe..e0d4418 100644
--- a/pyFTS/models/yu.py
+++ b/pyFTS/models/yu.py
@@ -59,7 +59,7 @@ class WeightedFTS(fts.FTS):
                 self.flrgs[flr.LHS].append_rhs(flr.RHS)
 
     def train(self, ndata, **kwargs):
-        tmpdata = FuzzySet.fuzzyfy(ndata, partitioner=self.partitioner, method='maximum', mode='sets')
+        tmpdata = self.partitioner.fuzzyfy(ndata, method='maximum', mode='sets')
         flrs = FLR.generate_recurrent_flrs(tmpdata)
         self.generate_FLRG(flrs)