Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (3): 817-826.doi: 10.12305/j.issn.1001-506X.2025.03.14

• Systems Engineering • Previous Articles    

Lightweight effectiveness evaluation method for high altitude airships for both qualitative and quantitative indicators

Zhangqiu YUAN1,2,3, Zhaoxu YANG1,2,3, Haijun RONG1,2,3,*   

  1. 1. School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    2. Shaanxi Key Laboratory of Environment and Control for Flight Vehicle, Xi'an Jiaotong University, Xi'an 710049, China
    3. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2024-02-20 Online:2025-03-28 Published:2025-04-18
  • Contact: Haijun RONG

Abstract:

High altitude airships possess advantages such as long endurance in the air and low energy consumption, making them highly valuable for applications in information monitoring and long-term communication. Considering the coupling between the airship platform and payload in terms of performance indicators, a lightweight effectiveness evaluation method is proposed, integrating both qualitative and quantitative indicators. First, the fuzzy comprehensive evaluation method is employed to transform qualitative indicators, which cannot be directly used for data analysis, into quantitative indicators, thereby achieving complete quantification of multiple types of indicators. Next, through maximum information coefficient correlation analysis based on fuzzy C-means clustering, select indicators related to the focus indicators and construct a scientific lightweight evaluation system. Then, a combined subjective and objective weighting method based on expert ranking evaluation is proposed, and the effectiveness evaluation results are obtained by calculating weights based on the lightweight evaluation system. Finally, the effectiveness of the proposed effectiveness evaluation method is verified through a case study. This lightweight effectiveness evaluation method can support high altitude airship design and optimization, helping to shorten development cycles and reduce costs.

Key words: effectiveness evaluation, fuzzy comprehensive evaluation method, fuzzy C-means clustering, maximum information coefficient, combined weighting method

CLC Number: 

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