Evaluating the Environmental Cost Internalization Based on the Fuzzy Neural Network

Xiang Song Meng; Yi Yao Zhu

doi:10.4028/www.scientific.net/AMR.1073-1076.495

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1073-1076Evaluating the Environmental Cost Internalization...

Evaluating the Environmental Cost Internalization Based on the Fuzzy Neural Network

Abstract:

Internalization of environment cost assessment measures the level of an enterprise’s environmental cost internalization. It’s also the basis of carrying out recycling economic in an enterprise. First of all, we established an environmental cost analysis model, in line with which we build the internalization of environment cost index system. Then adopting comprehensive evaluation method basing on fuzzy neural network can help us assess the effect brought by the internalization of environment cost. Finally, we conducted an experiment which comparing fuzzy neural network with the fuzzy evaluation of environment cost objectively. So we can think it’s an effective method.

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Periodical:

Advanced Materials Research (Volumes 1073-1076)

Pages:

495-499

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1073-1076.495

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Online since:

December 2014

Authors:

Xiang Song Meng*, Yi Yao Zhu

Keywords:

Environmental Cost, Fuzzy Neural Network, Internalization

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References

[1] Li Shi-yong. Engineering Fuzzy Mathematics and Application [M]. Harbin: Harbin Institute of Technology Press, (2004).

Google Scholar

[2] Duran, Xavier. A model for assessing the economic viability of construction and demolition waste recycling-The case of Ireland[J]. Resources, Conservation and Recycling. 2006, 46(3): 302-320.

DOI: 10.1016/j.resconrec.2005.08.003

Google Scholar

[3] Levlin, Jan-Erik. The limits of paper recycling-COST E48 [J]. Association Technique de L'Industrie Papetiere. 2008, 62(4): 22-33.

Google Scholar

[4] Qing Xin-lan From Denmark Karen fort circular economy industrial park of enlightenment [J]. Journal of environmental economy, 2006, (4): 60-63.

Google Scholar

[5] LeiJian. Circular economy mode at home and abroad and its enlightenment to China's new industrialization [J]. Probe, 2008, (12): 29-31.

Google Scholar

[6] Gao Hongshen, Gao Zekun. The system analysis of circular economy [J]. Journal of Renmin University of China, 2007, (6): 44.

Google Scholar

[7] Bo-qi weng. Developing agricultural circular economy and promote the construction of modern agriculture [J]. Journal of Fujian BBS: social science edition, 2008, (4): 19-21.

Google Scholar