A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics
American Journal of Applied Mathematics
Volume 2, Issue 6, December 2014, Pages: 209-213
Received: Nov. 13, 2014;
Accepted: Nov. 26, 2014;
Published: Dec. 18, 2014
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Lijuan Qian, The Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu, 212013, P. R. China; Industrial Technology, California State University, Fresno, CA 93740-8002, USA
Jinlin Ma, School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; Industrial Technology, California State University, Fresno, CA 93740-8002, USA
Zongbo Zhang, School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Daming Zhang, Industrial Technology, California State University, Fresno, CA 93740-8002, USA
Kaiping Ma, College of engineering, Nanjing Agricultural University, Nanjing, Jiangsu, 210031, China
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.
A Grey Relational Analysis Based Study on Green Degree Evaluation of Urban Logistics, American Journal of Applied Mathematics.
Vol. 2, No. 6,
2014, pp. 209-213.
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