Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (8): 2570-2580.doi: 10.12305/j.issn.1001-506X.2025.08.15

• Systems Engineering • Previous Articles    

Testability index allocation method based on fuzzy analytic network process and group decision-making

Chao ZHANG1,2,*(), Yingtao FANG1,3(), Zhijie DONG4, Shilie HE1,5, Zhenwei ZHOU5   

  1. 1. School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China
    2. National Key Laboratory of Aircraft Configuration Design,Xi’an 710072,China
    3. Unit 77110 of the PLA,Deyang 618000,China
    4. The 6th Research Institute of China Electronics Corporation,Beijing 100083,China
    5. China Electronic Product Reliability and Environmental Testing Institute,Guangzhou 511370,China
  • Received:2024-05-08 Online:2025-08-25 Published:2025-09-04
  • Contact: Chao ZHANG E-mail:caec_zc@nwpu.edu.cn;fangyingtao@yeah.net

Abstract:

Rational allocation of testability index is a critical task in the current equipment validation process. To address issues such as the limited calculation methods of classical approaches, such as failure rate-based distribution, a method for testability index allocation based on fuzzy analytic network process and group decision-making is proposed. Firstly, an evaluation system for the weights of testability index influencing factors is developed, using a triangular fuzzy number matrix for scoring. Analytic network process is employed for computation, and group decision-making is utilized to resolve weight conflicts. Secondly, an S-shaped function is introduced to improve the index allocation function, overcoming the limitations of linear distribution. Finally, the testability index allocation is validated through application in a specific airborne system. The results demonstrate that this method effectively integrates the advantages of objective calculations and subjective analyses, while also considering a broader range of factors, making it a more effective approach for testability index allocation.

Key words: testability index allocation, triangular fuzzy judgment matrix, analytic network process, group decision-making, S-shaped function optimization

CLC Number: 

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