According to the urban logistics green degree’s evaluation, a weighted grey correlation analysis method based on the analytic hierarchy process is proposed to determine the weight of each index in the urban logistics green degree evaluation system, and then figure out the optimal relative degree, realizing the green degree of each urban logistics. Finally, an example was given for proving the evaluation methods’ intuitive and high efficient.
Published in | American Journal of Applied Mathematics (Volume 2, Issue 6) |
DOI | 10.11648/j.ajam.20140206.13 |
Page(s) | 209-213 |
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), 2014. Published by Science Publishing Group |
Grey Relational Analysis, Urban Logistics, Green Degree, Evaluation
[1] | Pan Wenjun,Liang Faqi. To develop the logistics industry based on the theory of circular economy [J]. Logistics Management, 2006, 23(10): 39-43J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73. |
[2] | David Crawford. What the future holds for ‘green logistics’ [J]. Traffic Engineering and Control, 2009, 50(5): 215-217.K. Elissa, “Title of paper if known,” unpublished. |
[3] | Hsu Hy Sonya, Alexander Christine A, Zhu Zhiwei. Understanding the reverse logistics operations of a retailer: A pilot study [J]. Industrial Management and Data Systems, 2009.109(4): 515-531. |
[4] | Liu Sifeng, Xie Naiming. Grey system theory and application (Fourth Edition) [M]. Beijing Science Press, 2010: 44-45. |
[5] | Deng Julong. Grey predication and decision[M]. Wuhan: Central institute of technology press, 1986: 56-57 |
[6] | Du Dong, Pang Qinghua, Wu Yan. Comprehensive Evaluation of modern methods and case selection [M].Beijing: Tsinghua University Press, 2005: 14-20. |
[7] | Aya Zeki, Izadbakhsh HR, A combined fuzzy AHP-goal programming approach to assembly-line selection [J]. Journal of Intelligent and Fuzzy Systems, 2007, 18(4): 345-362. |
[8] | Coelli TJ, Prasada Rao DS, O’Donnell CJ, et al. Introduction to efficiency and productivity analysis [M]. Second Edition. New York: Springer Press, 2005: 202-230. |
[9] | Andersen B, Fagerhaug T. Performance measurement of logistics processes [J]. Journal of Operation Management, 2003(20): 19-32. |
[10] | Liu Ying Ming, Luo Mao Kang. Fuzzy topology [M]. Singapore: World Scientific, 1997: 120-131. |
APA Style
Lijuan Qian, Jinlin Ma, Zongbo Zhang, Daming Zhang, Kaiping Ma. (2014). A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics. American Journal of Applied Mathematics, 2(6), 209-213. https://doi.org/10.11648/j.ajam.20140206.13
ACS Style
Lijuan Qian; Jinlin Ma; Zongbo Zhang; Daming Zhang; Kaiping Ma. A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics. Am. J. Appl. Math. 2014, 2(6), 209-213. doi: 10.11648/j.ajam.20140206.13
AMA Style
Lijuan Qian, Jinlin Ma, Zongbo Zhang, Daming Zhang, Kaiping Ma. A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics. Am J Appl Math. 2014;2(6):209-213. doi: 10.11648/j.ajam.20140206.13
@article{10.11648/j.ajam.20140206.13, author = {Lijuan Qian and Jinlin Ma and Zongbo Zhang and Daming Zhang and Kaiping Ma}, title = {A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics}, journal = {American Journal of Applied Mathematics}, volume = {2}, number = {6}, pages = {209-213}, doi = {10.11648/j.ajam.20140206.13}, url = {https://doi.org/10.11648/j.ajam.20140206.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20140206.13}, abstract = {According to the urban logistics green degree’s evaluation, a weighted grey correlation analysis method based on the analytic hierarchy process is proposed to determine the weight of each index in the urban logistics green degree evaluation system, and then figure out the optimal relative degree, realizing the green degree of each urban logistics. Finally, an example was given for proving the evaluation methods’ intuitive and high efficient.}, year = {2014} }
TY - JOUR T1 - A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics AU - Lijuan Qian AU - Jinlin Ma AU - Zongbo Zhang AU - Daming Zhang AU - Kaiping Ma Y1 - 2014/12/18 PY - 2014 N1 - https://doi.org/10.11648/j.ajam.20140206.13 DO - 10.11648/j.ajam.20140206.13 T2 - American Journal of Applied Mathematics JF - American Journal of Applied Mathematics JO - American Journal of Applied Mathematics SP - 209 EP - 213 PB - Science Publishing Group SN - 2330-006X UR - https://doi.org/10.11648/j.ajam.20140206.13 AB - According to the urban logistics green degree’s evaluation, a weighted grey correlation analysis method based on the analytic hierarchy process is proposed to determine the weight of each index in the urban logistics green degree evaluation system, and then figure out the optimal relative degree, realizing the green degree of each urban logistics. Finally, an example was given for proving the evaluation methods’ intuitive and high efficient. VL - 2 IS - 6 ER -