Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (1): 172-180.doi: 10.12305/j.issn.1001-506X.2022.01.22

• Systems Engineering • Previous Articles     Next Articles

Threat comprehensive assessment for air defense targets based on intuitionistic fuzzy TOPSIS and variable weight VIKOR

Chong JIN1,*, Juan SUN1, Yongjia WANG1, Pushen CAI1,2, Xin RONG1   

  1. 1. North Automatic Control Technology Institute, Taiyuan 030006, China
    2. School of Automation, Beijing Institute of Technology, Beijing 100081, China
  • Received:2020-12-02 Online:2022-01-01 Published:2022-01-19
  • Contact: Chong JIN

Abstract:

Aiming at the shortcomings of traditional air defense target threat evaluating methods, such as incomplete consideration of threat factors, inaccurate quantification of qualitative indexes and constant weight of attribute indexes, a threat comprehensive assessment method for air defense targets based on intuitionistic fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and variable weight multi-criteria optimization compromise decision-making (VIKOR) is proposed on the basis of comprehensive consideration of static and dynamic attributes of targets. Firstly, the intuitionistic fuzzy set and membership functions are respectively used to quantify the static and dynamic attribute indexes. Secondly, the intuitionistic fuzzy TOPSIS model and the variable weight VIKOR model are constructed for static and dynamic threat assessment. Finally, the comprehensive threat degree is calculated. Simulation shows that the results obtained by the proposed threat comprehensive assessment method are more reasonable, effective and practical than those obtained by the traditional methods which only consider the motion state information of the target in air defense operations.

Key words: threat assessment, intuitionistic fuzzy set, technique for order preference by similarity to an ideal solution (TOPSIS), variable weight, multi-criteria optimization compromise decision-making (VIKOR)

CLC Number: 

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