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  • 标题:An interpretative structural model based on SPSS for the interaction analysis between risk factors of power grid
  • 本地全文:下载
  • 作者:Yichao Huang ; Ruanming Huang ; Xinjian Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:136
  • 页码:1-5
  • DOI:10.1051/e3sconf/201913602018
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The risk factors influencing the analysis of power grid investment are complicated and highly coupled. The analysis of the interaction of risk factors based on the traditional interpretative structural model, using the expert score to form correlation matrix, which is subjective. To increase the quantitative analysis and overcome the drawbacks of traditional model relying on experts’ experience, this paper proposes a new method to construct the interpretative structural model. Firstly, the evaluation index system of power grid investment is constructed, based on this, the collected history data of risk factors are processed and analysed through the correlation analysis of SPSS and the quantitative correlation matrix of risk factors is obtained, then the construction of interpretative structural model is finished. The constructed model provides the basis for the analysis and management of power grid investment.
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