Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2025, Vol. 42 ›› Issue (2): 379-387.doi: 10.3969/j.issn.1005-3085.2025.02.012

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Combat Capability Evaluation of Fighter Based on Relative Entropy Combination Weight

QUAN Jiale1,   HUI Yongchang2,   TANG Hengren1,   LI Haoming2   

  1. 1. Chinese Flight Test Establishment, Xi'an 710089
    2. School of Mathimatics and Statistics, Xi'an Jiaotong University, Xi'an 710049
  • Received:2022-08-28 Accepted:2023-03-04 Online:2025-04-15 Published:2025-06-15
  • Contact: Y. Hui. E-mail address: huiyc180@xjtu.edu.cn

Abstract:

The evaluation of fighter's combat capability aims to give reliable conclusions on the overall combat performance of fighter, which is of great significance. However, with the transformation of the operational mode, the simpler traditional operational capability evaluation framework is not suitable for more complex operational scenarios. Therefore, this paper comprehensively considers various situations that may occur in the real combat scenario. In view of the limitations of the traditional combat capability evaluation methods, and comprehensively considers the two factors of index system and test data, this paper uses the normal cloud model to aggregate the index completion score and combination weight, and gives a comprehensive solution to the problem of fighter combat capability evaluation. At the same time, this paper focuses on the rationality and effectiveness of weight distribution in the process of comprehensive evaluation, uses the combined weight method based on relative entropy as the final index weight calculation method, and comprehensively considers the advantages and disadvantages of subjective weight and objective weight by balancing the prior knowledge of domain experts and the internal patterns of data, so as to make the comprehensive evaluation results more authentic and reliable.

Key words: operational capability, AHP, entropy method, relative entropy, cloud theory

CLC Number: