Abstract
The spillover of Quasi-public goods attributes make reverse logistics become a part of the responsibilities of the Government at present. Therefore, the evaluation of reverse logistics management efficiency has become an important indicator to evaluate the responsibility of local governments. In order to provide a more scientific and effective decision making of resources distribution, this paper establishes a comprehensive evaluation model of thinking closer to human being by introduces RBF neural network model which has powerful vector classification and fast computation to the qualitative and quantitative analysis based on the TOPSIS evaluation results of reverse logistics management efficiency. The example shows that the model is more generalized to promote the use of.
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References
Wang, Y., Liu, Z.: Research on Reverse Logistics External Effect and Its Government Interfere. Journal of Transportation Engineering and Information 12, 76–81 (2006)
Zhou, Q.: Research on Necessity and the Barrier Mechanism of Reverse Logistics Development in Our Country. Ecological Economics 4, 66–68 (2007)
Zhou, Q.: Research on the Government Strategy of Reverse Logistics Development in Our Country. Economic Review 1, 31–33 (2007)
Zhang, B., Da, Q.: Research on the Performance of Reverse Logistics Management for Local Government Based on DEA. Soft Science 1(21), 66–69 (2007)
Pan, D.: Assessment on the Performance of the Third-party Reverse Logistics Based on Circular Economy. Master thesis of Nanchang University 6, 22–30 (2007)
Tang, Q., Feng, M.: Practical Statistical Analysis and Its DPS Data Processing System. Scientific and Technical Publishers (2002)
Zhang, F.R., Fet, A.: Main Factor TOPSIS Analysis in Decision-making on the Efficiency of Third-party Reverse Logistics Enterprise. Australia: M&D Forum 11, 492–496 (2008)
Zhang, F., Annik, M.F., Wang, J.: Fuzzy RBF assessment on productive efficiency of environmental impacted enterprise. In: IEEE International Conference on Mechatronics and Automation, ICMA 2009, vol. 1, pp. 465–470. IEEE press, Los Alamitos (2009)
Shao, J., Liu, X., Li, D.: Comprehensive Assessment on Sustainable Utilization Level of Regional Water Resource Based on RBF Network. Water Resources and Power 12(6), 9–11 (2006)
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Fengrong, Z., Xinwei, X. (2011). NN Assessment on the Government Responsibility Performance of Reverse Logistics Management. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_4
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DOI: https://doi.org/10.1007/978-3-642-23220-6_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23219-0
Online ISBN: 978-3-642-23220-6
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