I am trying to build a fuzzy inference system in Python using skfuzzy library. I have 4 variables depending on which output class is decided.
def fuzzInferenceself():
Input
hf_very_poor = fuzz.trimf(hotel_facility, [0, 0.15, 0.3])
hf_poor = fuzz.trimf(hotel_facility, [2.5,0.3,0.45])
hf_average = fuzz.trimf(hotel_facility, [0.4, 0.5, 0.75])
hf_good = fuzz.trimf(hotel_facility, [0.7, 0.85, 0.9])
hf_very_good = fuzz.trimf(hotel_facility, [0.875, 0.92, 1.0])
vc_less = fuzz.trimf(visited_count, [0, 0.05, 0.1])
vc_average = fuzz.trimf(visited_count, [0.05, 0.2, 0.35])
vc_many = fuzz.trapmf(visited_count, [0.3,0.45,0.55,0.7])
vc_a_lot = fuzz.trapmf(visited_count, [0.65,0.8,0.9,1.0])
rm_very_poor = fuzz.trimf(hotel_facility, [0, 0.15, 0.3])
rm_poor = fuzz.trimf(hotel_facility, [2.5,0.3,0.45])
rm_average = fuzz.trimf(hotel_facility, [0.4, 0.5, 0.75])
rm_good = fuzz.trimf(hotel_facility, [0.7, 0.8, 0.9])
rm_very_good = fuzz.trimf(hotel_facility, [0.85, 0.9,1.0])
output
class_very_poor = fuzz.gaussmf(class_score,1,0.5)
class_poor = fuzz.gaussmf(class_score,1.75,0.65)
class_average = fuzz.gaussmf(class_score,2.25,0.75)
class_good = fuzz.gaussmf(class_score,3,0.25)
class_very_good = fuzz.gaussmf(class_score, 3.5, 0.5)
def hotelFaclilityClassification(self,A):
hf_vp= fuzz.interp_membership(hotel_facility, hf_very_poor, A)
hf_p= fuzz.interp_membership(hotel_facility, hf_poor, A)
hf_av= fuzz.interp_membership(hotel_facility, hf_average, A)
hf_gd= fuzz.interp_membership(hotel_facility, hf_good, A)
hf_vg= fuzz.interp_membership(hotel_facility, hf_very_good, A)
return dict(hfVP = hf_vp, hfP = hf_p, hfAV = hf_av,hGD = hf_gd, hVG = hf_vg)
def visitCountClassification(B):
vc_l = fuzz.interp_membership(visited_count,vc_less)
vc_av = fuzz.interp_membership(visited_count,vc_average)
vc_mn = fuzz.interp_membership(visited_count,vc_many)
vc_al = fuzz.interp_membership(visited_count,vc_a_lot)
return dict(vcL = vc_l, vcAV=vc_av, vcMN = vc_mn, vcAL = vc_al )
def roomFacilityClassification(C):
rm_vp = fuzz.interp_membership(room_facility,rm_very_poor)
rm_p = fuzz.interp_membership(room_facility,rm_poor)
rm_av = fuzz.interp_membership(room_facility,rm_average)
rm_gd = fuzz.interp_membership(room_facility,rm_good)
rm_vg = fuzz.interp_membership(room_facility,rm_very_good)
return dict(rmVP = rm_vp, rmP = rm_p, rmAV = rm_av, rmGD = rm_gd, rmVG = rm_vg)
A similar function for price is: def priceClassification(D).
The rules are as follows:
If Hotel facility score is Very good, visited count is a lot, room facility is very good, prices is less then class is very good.
I do not understand how to code the rules. All sources I have seen takes one input and one output variable. But this is not the case in my code.
Can anyone give me a good resource or idea about how to code this rule?
