• DocumentCode
    3660069
  • Title

    Application of vector similarity method in multi-plan optimization

  • Author

    Kangming Zhang;Haoguang Chen;Shengming Liu;Ying Shao;Xiong Wang

  • Author_Institution
    Academy of Equipment, HuaiRou, Beijing, China
  • fYear
    2015
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    Based on the vector similarity theory, a new method of multi-plan optimization is proposed in this paper. The paper discusses the optimization steps of the method in detail. Finally, an example show that the effectiveness and practicality of this method by the comparison of decision results among the vector similarity method, the TOPSIS method, the angle measure sorting method and the project method.
  • Keywords
    "Indexes","Optimization","Sorting","Modeling","Decision making","Entropy","Reliability"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279308
  • Filename
    7279308