• DocumentCode
    571676
  • Title

    The Visualization Decision-making Model of Four Objectives Based on the Balance of Space Vector

  • Author

    Bi, Xiaojun ; Li, Bo

  • Author_Institution
    Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    365
  • Lastpage
    368
  • Abstract
    Current visualization technology cannot effectively show high dimension multi-objective optimization problems. In view of this problem, a visualization method is proposed in this paper, which chooses the vertexes of regular tetrahedron as the basis points and maps the space coordinates of Pareto optimal front by the space vector balance. The relative merits of 4 objectives can be displayed effectively in this visualization model. Meanwhile, a regional scoring system is proposed. After that we show the results of the regional scoring system described by the form of the mapping points color gradient. On the basis of thought mentioned above, the visualization model is designed and analyzed by the experiment. The purpose of comprehensive analytical and decision-making of Pareto optimal solutions has been achieved.
  • Keywords
    Pareto optimisation; computational geometry; data visualisation; decision making; gradient methods; Pareto optimal front; high dimension multiobjective optimization problems; mapping points color gradient; regional scoring system; regular tetrahedron vertexes; space coordinates; space vector balance; visualization decision-making model; Data visualization; Decision making; Image color analysis; Linear programming; Pareto optimization; Vectors; Visualization; decision-making of Pareto optimal solutions; high-dimension multi-objective visualization; regional scoring sort; space vector balance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.183
  • Filename
    6305797