Open AccessFuzzy-based Classification of Vaporous Compound using Electronic Nose
Author(s) -
Mahmud Tengku Muda Mohamed,
Rozita Ismail
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1025.10812s219
Subject(s) - fuzzy logic , electronic nose , artificial intelligence , computer science , fuzzy control system , adaptive neuro fuzzy inference system , neuro fuzzy , matlab , scheme (mathematics) , fuzzy electronics , process (computing) , defuzzification , fuzzy set , control engineering , engineering , machine learning , mathematics , fuzzy number , mathematical analysis , operating system
The Fuzzy logic is a promising method in Artificial Intelligence. This is extensively employed to manage factors in the surroundings. The influence of fuzzy logic is demonstrated by evidence of making of proposed intelligent systems based on fuzzy logic methods e.g. pressure cooker, refrigerator, washing machine and so on. The intention of proposed work is to design an e-nose capable of detecting the distinct smell generated by various chemical vapours. These sensors of gas were used in this scheme. These readings from sensors passed to a fuzzy logic controller. The fuzzification process is taken by Mamdani style. The outcome of the proposed scheme is displayed at LCD display and matched to the outcome of simulation done using Matlab.