Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (8): 1794-1803.doi: 10.3969/j.issn.1001-506X.2020.08.20

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Hierarchical countermeasures assessment based on logarithmic fuzzy preference programming

Yawei GE1(), Xiqian HOU2()   

  1. 1. Center for Assessment and Demonstration Research, PLA Academy of Military Sciences, Beijing 100091, China
    2. Unit 93735 of the PLA, Tianjin 301700, China
  • Received:2019-09-12 Online:2020-07-25 Published:2020-07-27

Abstract:

Aiming at the problem of informatization system countermeasures assessment under the conditions of incomplete decision-making information, a assessment method based on logarithmic fuzzy preference programming (LFPP) is proposed. The method combines the analysis of relevant factors in countermeasures assessment with the experience of field experts, builds the hierarchical structure of the countermeasures assessment, and gives the LFPP assessment model and the two-stage integrated approach, which can utilize both the qualitative and quantitative data, produce the unique normalized optimal assessment priority vector for the fuzzy pairwise comparison matrices, and process all the comparison matrices obtained simultaneously and directly in the form of global fuzzy super-matrix to obtain the final priorities. Using the combat aircraft penetration as case study, the result shows that the method can make different optimal countermeasure assessments under different strategy criterias, which can be used to guide the fighter pilot to select the optimal practice actions.

Key words: informatization system, countermeasures assessment, hierarchical, logarithmic fuzzy preference programming (LFPP)

CLC Number: 

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