A Linguistic 2-Tuple Multi-criteria Decision-Making Model for Military Training Assessment

  • Haiming Li
  • Gang YuEmail author
  • Guobin Shang
  • Chongxin Tian
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 576)


Military training assessment plays a critical role in training performance enhancement. During the assessment process, a direct and clear way of expression is preferred to use between trainers and trainees for information exchange such as situation awareness or order giving. Therefore, an assessment model based on 2-tuple linguistic is constructed for simple expression. Due to multiple reasons, the weight of index may probably be unknown; thus, a weighting method based on maximum deviations is proposed for the determination of objective weight. In addition, a multi-criteria decision-making model called TOPSIS is introduced to obtain the assessment values in 2-tuple representation. Finally, a military flight training plan assessment instance is given to prove the feasibility and effectiveness of this model.


Military training assessment 2-tuple Maximum deviations TOPSIS 


  1. 1.
    Li X, Shi X, He H et al (2017) The study of the performance assessment in military training. In: 17th international conference on man machine environment system engineeringGoogle Scholar
  2. 2.
    Dali C, Fu B (2016) Principles of military training. Military Science PressGoogle Scholar
  3. 3.
    Wang TC, Chang TH (2007) Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Syst Appl 33:870–880CrossRefGoogle Scholar
  4. 4.
    Plioutsias A, Karanikas N (2015) Using STPA in the evaluation of fighter pilots training programs. Proc Eng 128:25–34CrossRefGoogle Scholar
  5. 5.
    USAF, Risk Management (RM) Guidelines and Tools—AFPAM-90-803 (2013) United States Air ForceGoogle Scholar
  6. 6.
    Hollnagel E (2014) Safety-I and safety-II: the past and future of safety management. Ashgate Publishing, United KingdomGoogle Scholar
  7. 7.
    Martinez L, Herrera F (2012) An overview on the 2-tuple linguistic model for computing with words in decision making: extensions, applications and challenges. Inform Sci 207Google Scholar
  8. 8.
    Joint Chiefs of Staff,Joint Publication 5-0. Joint Planning [EB/OL].
  9. 9.
    Gao M, Jianliang Ai, Li Z et al (2009) On exploring method and software for evaluating effectiveness of military training aircraft. Chin J Aeronaut 22(6):607–611CrossRefGoogle Scholar
  10. 10.
    Zavadskas EK, Mardani A, Turskis Z et al (2016) Development of TOPSIS method to solve complicated decision-making problems—an overview on developments from 2000 to 2015. Int J Inform Technol Decision Making 15(03):645–682CrossRefGoogle Scholar
  11. 11.
    Chang C-H, Lin J-J, Lin J-H et al (2010) Domestic open-end equity mutual fund performance evaluation using extended TOPSIS method with different distance approaches. Expert Syst Appl 37(6): 4642–4649CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Haiming Li
    • 1
  • Gang Yu
    • 1
    Email author
  • Guobin Shang
    • 1
  • Chongxin Tian
    • 1
  1. 1.University of Chinese Academy of SciencesBeijingChina

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