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  • 标题:A new grey relational model based on discrete Fourier transform and its application on Chinese marine economic
  • 本地全文:下载
  • 作者:Xuemei Li ; Ya Zhang ; Kedong Yin
  • 期刊名称:Marine Economics and Management
  • 印刷版ISSN:2516-158X
  • 出版年度:2018
  • 卷号:1
  • 期号:1
  • 页码:79-100
  • DOI:10.1108/MAEM-07-2018-004
  • 语种:English
  • 出版社:Emerald publishing Limited
  • 摘要:Purpose The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues. Design/methodology/approach Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA). Findings To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability. Originality/value DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.
  • 关键词:Grey relational analysis;Marine economic;Discrete Fourier transform
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