• DocumentCode
    2678726
  • Title

    Grey Relational Evaluation of Electronic Equipment Effectiveness Based on Ideal Reference Sequence

  • Author

    Hongfa, Ke ; Yongguang, Chen ; Guoyu, Wang

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
  • Volume
    2
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    918
  • Lastpage
    922
  • Abstract
    Evaluating the combat effectiveness of electronic equipment is an important research task. Due to the incomplete information, the data which is used for effectiveness evaluation is regarded as the uncertain grey number according to the grey system theory. Based on the positive and negative ideal sequence, a grey relational analysis model for the combat effectiveness evaluation of electronic equipment is introduced. And the relevant grey relational analysis algorithm is established also. The effectiveness value is acquired through an optimal function which maximizes the combat effectiveness of the equipment. Then the evaluation distinguishing coefficient is defined to compare the effectiveness evaluation model and algorithm. The simulation example shows the rationality and feasibility of the proposed method. This method can accurately rank the combat effectiveness of electronic equipment so that the best equipment can be chosen
  • Keywords
    electronic warfare; grey systems; military computing; combat effectiveness evaluation; electronic equipment; grey relational evaluation; grey system theory; ideal reference sequence; Algorithm design and analysis; Computational modeling; Computer simulation; Educational institutions; Electronic equipment; Electronic equipment testing; Probability; Reconnaissance; Statistics; Weapons; Electronic equipment; effectiveness evaluation; evaluation coefficient; evaluation distinguishing coefficient; grey relational theory; ideal sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0475-4
  • Type

    conf

  • DOI
    10.1109/COGINF.2006.365615
  • Filename
    4216533