Abstract : An improved Grey Relational Analysis (GRA) is used to quantitatively investigate the impact of Jiangxi Province regional economy on local logistics demand. The grey characteristics of data from regional economy and logistics is studied, which shows GRA is applicable; then a multi-sequence GRA is proposed, which generates total 4 groups of grey relational sequence from three indices of industrial added value and logistics demand based on GRA. Finally statement and explanation are given based on the Jiangxi Provincial industrial situation.
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.1-7, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_1〉
https://hal.inria.fr/hal-01351781
Contributeur : Hal Ifip
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Soumis le : jeudi 4 août 2016 - 17:01:51
Dernière modification le : jeudi 4 août 2016 - 17:35:10
Document(s) archivé(s) le : samedi 5 novembre 2016 - 12:56:39
Wenqin Cao, Haiyan Zhu, Bin Li. Impact of Regional Industries on Logistics Demand with Improved Grey Analysis. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.1-7, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_1〉. 〈hal-01351781〉
