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By Farhad Nejadkoorki

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9 µg/m3 were recorded. The combustion process took 60 minutes and a linear increase was recorded for 5 60 minutes depending on the intensity of gas burning. 2 µg/m3. 6 µg/m3. h-1 (Fig. 4). h-1] Fig. 4. 6 Table 1. h-1 is given in Fig. 5. m-3). m-3. m-3). m-3). m-3] 1600 1400 1200 1000 800 600 400 200 0 0 10 20 30 40 50 60 70 80 90 100 Time [min] NO2 NO 110 120 130 140 150 NOx Fig. 5. h-1 is given in Fig. 6. m-3] 1800 1600 1400 1200 1000 800 600 400 200 0 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time [min] NO NO2 NOx Fig.

M. H. et al, 2011]. The results of this research, in particular, are not influenced by expert's view. After introducing fuzzy logic and comparing it to binary logic in this paper, its application in monitoring the pollutants of industries related to metallurgy in addition to a case study on monitoring the industrial pollutants, carbon dioxide, in iron and steel production industries, aluminum, zinc and lead production in some parts of the world have been stated. 2. Introduction to fuzzy logic Fuzzy logic was first introduced by the originally Iranian professor, Mr.

As a result, we can investigate which industry in which area is in safer conditions of producing carbon dioxide pollutant. 05589. Hence, further focus should be done on controlling carbon dioxide pollutant in aluminum industry in a country in America. e. e. e. e. e. zinc production industry in a country in the America continent with a safety degree of 1 6. Suggestions Due to the insufficient data in this research, a limited number of industries and countries as well as a limited number of pollutants were only studied.

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