Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (1): 217-229.doi: 10.12305/j.issn.1001-506X.2025.01.23

• Systems Engineering • Previous Articles     Next Articles

Evaluation of ship power system resilience based on two-dimensional cloud model of IAHP-CRITIC

Tao HU1, Haobang LIU1,*, Tong CHEN1, Yujiang WANG1,2, Minggui LI1,3, Kai DU4   

  1. 1. Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China
    2. Unit 91515 of the PLA, Sanya 572000, China
    3. State Key Laboratory of Astronautic Dynamics, Sanya 572000, China
    4. Shijiazhuang Campus of Army Infantry College, Shijiazhuang 050083, China
  • Received:2023-12-04 Online:2025-01-21 Published:2025-01-25
  • Contact: Haobang LIU

Abstract:

The ship power system is the key to the normal operation of the ship, and has high degree of complexity and fuzziness, which makes it difficult to evaluate its resilience accurately and objectively. According to the main tasks of the ship power system, the resilience evaluation index system of the ship power system is constructed. The interval analytic hierarchy process (IAHP) and the criteria importance though intercrieria correlation (CRITIC) are used to calculate the subjective and objective weights of the evaluation index system respectively, and the combined weights are determined by the improved game theory method to reduce the subjectivity and randomness of weight calculation. Combined with the two-dimensional cloud model, the resilience of ship power system is evaluated from two dimensions of defense capability and recovery capability, which reflects the resilience of ship power system more comprehensively and objectively. The example shows that the proposed method can effectively solve the randomness and uncertain problems in the resilience evaluation of ship power system, and is conducive to obtaining more accurate and objective evaluation results.

Key words: ship power system, two-dimensional cloud model, resilience evaluation, interval analytic hierarchy process (IAHP), criteria importance though intercrieria correlation (CRITIC

CLC Number: 

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