基于灰色多层次模型的河流综合功能评价
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TV882

基金项目:

江苏省水利科技创新计划(2015009);江苏省普通高校专业学位研究生创新计划(SJZZ15_0059)


Application of improved grey hierarchical model to evaluation of comprehensive functions of rivers
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    在分析河流功能内涵及分类的基础上,从河流自然功能、生态功能、社会功能和灾害性能四方面构建河流综合功能评价指标体系。以河流综合功能评价指标体系为基础,采用层次分析法、改进的熵权法分别确定各个指标主、客观权重并经线性组合后确定综合权重,建立改进的灰色多层次评价模型。将河流综合功能评价指标体系和改进的灰色多层次评价模型应用于柏条河综合功能评价中,评价结果表明柏条河综合功能优良,与实际情况相符。由此论证了改进的灰色多层次评价模型能够综合主、客观赋权的优劣,并充分考虑各指标之间关系不明确等信息,具有较强的可靠性和实用性。

    Abstract:

    Based on their connotation and classification, an evaluation index system for the functions of a river is developed considering its natural function, ecological function, social function and disastrous characteristics. On this basis, the AHP and the improved entropy method are employed to respectively determine the objective and subjective weights of various indices, and the comprehensive weights are then determined through linear combination. The improved grey hierarchical model is thus established. The evaluation index system for comprehensive functions of rivers and the improved grey hierarchical model are applied to the evaluation of functions of Baitiao River. The results show that the comprehensive functions of Baitiao River are very good and agree with the actual situations. The proposed grey hierarchical model can integrate the subjective and objective weight information and fully consider the relationship among various indices, and it is of great reliability and practicability.

    参考文献
    相似文献
    引证文献
引用本文

郭宁,林泽昕,方国华,等.基于灰色多层次模型的河流综合功能评价[J].水利经济,2016,34(6):38-42.(GUO Ning, LIN Zexin, FANG Guohua, et al. Application of improved grey hierarchical model to evaluation of comprehensive functions of rivers[J]. Journal of Economics of Water Resources,2016,34(6):38-42.(in Chinese))

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2016-06-30
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2016-12-02
  • 出版日期: