Application of TOPSIS method based on variation coefficient weight on water resource classification

被引:0
|
作者
Wang Likun [1 ]
Men Baohui [2 ]
机构
[1] Northeast Agr Univ, Water Resources & Architectural Coll, Harbin 150030, Hei Longjiang, Peoples R China
[2] North China Elect Power Univ, Dept Hydraul & Hydropower Engn, Beijing 102206, Peoples R China
关键词
TOPSIS method; water resource classification; artificial neural network method;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The water resource classification is a multi-level and multi-index problem. The TOPSIS method is applied on the classification of water resource. According to variation degree among the characteristic values of evaluation indexes, the variance coefficient is used to determine the weight. The method is explained by an example, and the result is similar to that of artificial neural network method.
引用
收藏
页码:24 / 27
页数:4
相关论文
共 50 条
  • [31] Research on the Sustainable Development Strategy of China's Petroleum Resource-Based City Based on Entropy-weight TOPSIS Method
    Liu, Yi
    Liu, Junjun
    Sun, Zhen
    2020 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, PTS 1-5, 2020, 546
  • [32] Application of the Variation Coefficient Method to Comprehensive Evaluation of Wind Farms
    Zheng Huiping
    Xue Min
    Han Yu
    Zhang Wenchao
    MATERIALS SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2, 2014, 488-489 : 1447 - +
  • [33] Dual service selection method based on coefficient of variation
    Wang H.
    Cheng Y.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2017, 51 (06): : 1197 - 1204
  • [34] G1-variation-coefficient-KL based TOPSIS radar jamming effectiveness evaluation
    Li Z.
    Xiang J.
    Sheng T.
    Xiao B.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2021, 47 (12): : 2571 - 2578
  • [35] Weather classification method based on atmospheric transparency coefficient
    Chen L.
    Sun W.
    Yu G.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (07): : 174 - 179
  • [36] Water Environment Random Evaluation Model based on the improved TOPSIS method and Bayesian Theory and its Application
    Xu, Jinchao
    Chen, Yaqian
    Zhao, Jun
    Hang, Qingfeng
    Li, Xuechun
    WATER RESOURCES, 2019, 46 (03) : 344 - 352
  • [37] Water Environment Random Evaluation Model based on the improved TOPSIS method and Bayesian Theory and its Application
    Yaqian Jinchao Xu
    Jun Chen
    Qingfeng Zhao
    Xuechun Hang
    Water Resources, 2019, 46 : 344 - 352
  • [38] Application of improved TOPSIS method based on ACO and BP algorithm
    Niu, Dongxiao
    Lv, Jialiang
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 6183 - 6186
  • [39] The Application of Interval Evaluation Method Based on Grey Relation and TOPSIS
    Meng, Jin-tao
    Zhang, Wei
    Lu, Xiao-xu
    2015 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHATRONICS ENGINEERING (AMME 2015), 2015, : 709 - 714
  • [40] Intuitionistic fuzzy distance based TOPSIS method and application to MADM
    Nan J.
    Wang T.
    An J.
    International Journal of Fuzzy System Applications, 2016, 5 (01) : 43 - 56