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A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics

Received: 13 November 2014     Accepted: 26 November 2014     Published: 18 December 2014
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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.

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

Keywords

Grey Relational Analysis, Urban Logistics, Green Degree, Evaluation

References
[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 Traffic Engineering and Control, 2009, 50(5): 215-217.K. Elissa, “Title of paper if known,” unpublished.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.
Cite This Article
  • 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

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    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

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    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

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  • @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}
    }
    

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    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
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    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
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    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  - 

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Author Information
  • The Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu, 212013, P. R. China

  • School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

  • School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

  • Industrial Technology, California State University, Fresno, CA 93740-8002, USA

  • College of engineering, Nanjing Agricultural University, Nanjing, Jiangsu, 210031, China

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