diff --git a/engine.py b/engine.py
index f2bd1e8..c5504cb 100644
--- a/engine.py
+++ b/engine.py
@@ -4,75 +4,47 @@ FS = FuzzySystem()
 
 # Define fuzzy sets for the variable # Define fuzzy sets for the variable 
 # RELEASE_YEAR
-
-# release_year_newer = FuzzySet(points=[[-68.0, 0.0],  [68.0, 1.0]], term="newer")
 release_year_newer = TriangleFuzzySet(-68, -68, 0, term="newer")
-
-# release_year_similar = FuzzySet(points=[[-68.0, 0.0],  [0.0, 1.0],  [68.0, 0.0]], term="similar")
 release_year_similar = TriangleFuzzySet(-68, 0, 68, term="similar")
-
-# release_year_older = FuzzySet(points=[[-68.0, 1.0], [68.0, 0.0]], term="older")
 release_year_older = TriangleFuzzySet(0, 68, 68, term="older")
 
 FS.add_linguistic_variable("RELEASE_YEAR", LinguisticVariable( [release_year_newer, release_year_similar, release_year_older], universe_of_discourse=[-136, 136] ))
 
 # RUNTIME
-
-# runtime_shorter = FuzzySet(points=[[-238.0, 0.0],  [238.0, 1.0]], term="shorter")
 runtime_shorter = TriangleFuzzySet(-238, -238, 0, term="shorter")
-
-# runtime_similar = FuzzySet(points=[[-238.0, 0.0],  [0.0, 1.0],  [238.0, 0.0]], term="similar")
 runtime_similar = TriangleFuzzySet(-238, 0, 238, term="similar")
-
-# runtime_longer = FuzzySet(points=[[-238.0, 1.0], [238.0, 0]], term="longer")
 runtime_longer = TriangleFuzzySet(0, 238, 238, term="longer")
 
 FS.add_linguistic_variable("RUNTIME", LinguisticVariable( [runtime_shorter, runtime_similar, runtime_longer], universe_of_discourse=[-476, 476] ))
 
 # SEASONS
-
-# seasons_less = FuzzySet(points=[[-42.0, 0.0],  [42.0, 1.0]], term="less")
 seasons_less = TriangleFuzzySet(-42, -42, 0, term="less")
-
-# seasons_similar = FuzzySet(points=[[-42.0, 0.0],  [0.0, 1.0],  [42.0, 0.0]], term="similar")
 seasons_similar = TriangleFuzzySet(-42, 0, 42, term="similar")
-
-# seasons_more = FuzzySet(points=[[-42.0, 1.0], [42.0, 0.0]], term="more")
 seasons_more = TriangleFuzzySet(0, 42, 42, term="more")
 
 FS.add_linguistic_variable("SEASONS", LinguisticVariable( [seasons_less, seasons_similar, seasons_more], universe_of_discourse=[-84, 84] ))
 
 # GENRES
-
-# genres_different = FuzzySet(points=[[-100.0, 0.0],  [100.0, 1.0]], term="different")
 genres_different = TriangleFuzzySet(-100, -100, 0, term="different")
-
-# genres_similar = FuzzySet(points=[[-100.0, 0.0],  [0.0, 1.0],  [100.0, 0.0]], term="similar")
 genres_similar = TriangleFuzzySet(-100, 0, 100, term="similar")
-
-# genres_same = FuzzySet(points=[[-100.0, 1.0], [100.0, 0.0]], term="same")
 genres_same = TriangleFuzzySet(0, 100, 100, term="same")
 
 FS.add_linguistic_variable("GENRES", LinguisticVariable( [genres_different, genres_similar, genres_same], universe_of_discourse=[-200, 200] ))
 
 # EMOTIONS
-
-# emotions_different = FuzzySet(points=[[-4.0, 0.0],  [4.0, 1.0]], term="different")
 emotions_different = TriangleFuzzySet(-4, -4, 0, term="different")
-
-# emotions_similar = FuzzySet(points=[[-4.0, 0.0],  [0.0, 1.0],  [4.0, 0.0]], term="similar")
 emotions_similar = TriangleFuzzySet(-4, 0, 4, term="similar")
-
-# emotions_same = FuzzySet(points=[[-4.0, 1.0], [4.0, 0.0]], term="same")
 emotions_same = TriangleFuzzySet(0, 4, 4, term="same")
 
 FS.add_linguistic_variable("EMOTIONS", LinguisticVariable( [emotions_different, emotions_similar, emotions_same], universe_of_discourse=[-8, 8] ))
 
-# Nie crisp tylko tak jak te powyżej zdefiniować
-FS.set_crisp_output_value("low_recomendation", 0)
-FS.set_crisp_output_value("medium_recomendation", 50)
-FS.set_crisp_output_value("high_recomendation", 100)
+# RECOMENDATION
+low_recomendation = TriangleFuzzySet(0, 0, 50, term="low_recomendation")
+medium_recomendation = TriangleFuzzySet(0, 50, 100, term="medium_recomendation")
+high_recomendation = TriangleFuzzySet(0, 100, 100, term="high_recomendation")
+FS.add_linguistic_variable("RECOMENDATION", LinguisticVariable( [low_recomendation, medium_recomendation, high_recomendation], universe_of_discourse=[0, 200] ))
 
+# RULES
 RULE1 = "IF (RELEASE_YEAR IS older) AND (RUNTIME IS longer) AND (SEASONS IS more) THEN (RECOMENDATION IS low_recomendation)"
 RULE2 = "IF (EMOTIONS IS different) AND (GENRES IS different) THEN (RECOMENDATION IS low_recomendation)"
 RULE3 = "IF (RELEASE_YEAR IS newer) AND (RUNTIME IS similar) AND (SEASONS IS less) THEN (RECOMENDATION IS medium_recomendation)"
@@ -90,4 +62,4 @@ FS.set_variable("EMOTIONS", 1.0)
 
 print(FS.inference(["RECOMENDATION"]))
 
-FS.produce_figure(outputfile='file.pdf')
\ No newline at end of file
+FS.produce_figure(outputfile='visualize_terms.pdf')
\ No newline at end of file
diff --git a/file.pdf b/file.pdf
deleted file mode 100644
index d631dfd..0000000
Binary files a/file.pdf and /dev/null differ