Abstract:
Fuzzy plogic pis pone pof pthe ptechniques pin pArtificial
Intelligent p(AI) pthat pwidely pused pto pcontrol penvironmental
factors. The effectiveness of fuzzy logic has been proven through
a plot pof pcreation pof pIntelligent pSystem pusing pfuzzy plogic
a
lication. pThis
aper
resents pthe presearch psegment pof
development of methodology for determining odor level using
fuzzy logic based algorithm. Two different gas sensors are used
which respond to carbon monoxide, methane, hydrogen, ethanol
and chlorofluorocarbon. This study focused on evaluating the
ossibility of using gas sensor to detect odor level produced by
coffee. Sensor fusion is achieved through processing the analog to
digital converted values of sensor outputs using algorithm to
determine the odor level of predetermined oders. Fuzzy logic
algorithm is based on Zadeh-Mamdani type Fuzzy inference
system a
roach. The result of this study will be displayed in
form of
ercentage values and will be compared with the
simulation result using Matlab.
