Fuzzy-based Classification of Vaporous Compound using Electronic Nose
Rajina R. Mohamed1, Azahar T. M2, M A Mohamed3, Rozita Ismail4, RazaliYaacob5

1Rajina R. Mohamed, Universiti Tenaga Nasional, Malaysia.

2Azahar T. M, Universiti Kuala Lumpur, Malaysia.

3M A Mohamed, Universiti Sultan ZainalAbidin (UniSZA).

4RazaliYaacob, Universiti Putra Malaysia (UPM), Malaysia.

5Rozita Ismail, Universiti Sultan ZainalAbidin (UniSZA).

Manuscript received on 06 December 2019 | Revised Manuscript received on 20 December 2019 | Manuscript Published on 31 December 2019 | PP: 132-138 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L102510812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1025.10812S219

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.

Keywords: Fuzzy Logic, Electrical Nose, Gas Sensors, Vaporous Compound.
Scope of the Article: Fuzzy Logics