In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned.
Published in | Journal of Investment and Management (Volume 4, Issue 4) |
DOI | 10.11648/j.jim.20150404.13 |
Page(s) | 113-118 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Fuzzy Logic, Monitoring, Pyrometallurgy Industries
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APA Style
Seyed Ebrahim Vahdat, Rohollah Askarpour, Pedram Keyhany, Yones Rahimi, Hadi Soflaei. (2015). Management of Pollutants in Industries: A Case Study. Journal of Investment and Management, 4(4), 113-118. https://doi.org/10.11648/j.jim.20150404.13
ACS Style
Seyed Ebrahim Vahdat; Rohollah Askarpour; Pedram Keyhany; Yones Rahimi; Hadi Soflaei. Management of Pollutants in Industries: A Case Study. J. Invest. Manag. 2015, 4(4), 113-118. doi: 10.11648/j.jim.20150404.13
AMA Style
Seyed Ebrahim Vahdat, Rohollah Askarpour, Pedram Keyhany, Yones Rahimi, Hadi Soflaei. Management of Pollutants in Industries: A Case Study. J Invest Manag. 2015;4(4):113-118. doi: 10.11648/j.jim.20150404.13
@article{10.11648/j.jim.20150404.13, author = {Seyed Ebrahim Vahdat and Rohollah Askarpour and Pedram Keyhany and Yones Rahimi and Hadi Soflaei}, title = {Management of Pollutants in Industries: A Case Study}, journal = {Journal of Investment and Management}, volume = {4}, number = {4}, pages = {113-118}, doi = {10.11648/j.jim.20150404.13}, url = {https://doi.org/10.11648/j.jim.20150404.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20150404.13}, abstract = {In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned.}, year = {2015} }
TY - JOUR T1 - Management of Pollutants in Industries: A Case Study AU - Seyed Ebrahim Vahdat AU - Rohollah Askarpour AU - Pedram Keyhany AU - Yones Rahimi AU - Hadi Soflaei Y1 - 2015/08/11 PY - 2015 N1 - https://doi.org/10.11648/j.jim.20150404.13 DO - 10.11648/j.jim.20150404.13 T2 - Journal of Investment and Management JF - Journal of Investment and Management JO - Journal of Investment and Management SP - 113 EP - 118 PB - Science Publishing Group SN - 2328-7721 UR - https://doi.org/10.11648/j.jim.20150404.13 AB - In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned. VL - 4 IS - 4 ER -