Communication Jamming Effectiveness Evaluation: <i>q</i>-Rung Orthopair Fuzzy Set and CoCoSo-BM Fusion Framework

NING Xiaoyan; WANG Xiangchen; YANG Jian; CHEN Zengmao

doi:10.11999/JEIT241140

Volume 47 Issue 7

Jul. 2025

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Article Navigation > Journal of Electronics & Information Technology > 2025 > 47(7): 2062-2072

NING Xiaoyan, WANG Xiangchen, YANG Jian, CHEN Zengmao. Communication Jamming Effectiveness Evaluation: q-Rung Orthopair Fuzzy Set and CoCoSo-BM Fusion Framework[J]. Journal of Electronics & Information Technology, 2025, 47(7): 2062-2072. doi: 10.11999/JEIT241140

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NING Xiaoyan, WANG Xiangchen, YANG Jian, CHEN Zengmao. Communication Jamming Effectiveness Evaluation: q-Rung Orthopair Fuzzy Set and CoCoSo-BM Fusion Framework[J]. Journal of Electronics & Information Technology, 2025, 47(7): 2062-2072. doi: 10.11999/JEIT241140

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Communication Jamming Effectiveness Evaluation: q-Rung Orthopair Fuzzy Set and CoCoSo-BM Fusion Framework

doi: 10.11999/JEIT241140 cstr: 32379.14.JEIT241140

1.
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2.
(Beijing Remote Sensing Equipment Research Institute, Beijing 100854, China

Funds: The National Natural Science Foundation of China (62001139), The Advanced Ship Communications and Information Technology Industry and Key Laboratory of Ministry of Information Technology (AMCIT2101-05)

Received Date: 2024-12-27
Rev Recd Date: 2025-05-19

Available Online: 2025-06-10

Publish Date: 2025-07-22

Abstract

Abstract

Objective With the advancement of modern warfare and the development of communication countermeasure technologies, the evaluation of jamming efficiency is essential for supporting decision-making in anti-jamming strategy selection. It also plays a critical role in enabling intelligent countermeasures in unmanned systems. However, existing evaluation methods often lack comprehensiveness and exhibit low sensitivity. To address these limitations, this study proposes an evaluation method based on the q-rung orthopair fuzzy set and the Combined Compromise Solution (CoCoSo)-Bonferroni Mean (BM) approach, inspired by the recently developed CoCoSo algorithm in mathematical statistics. By integrating q-rung fuzzy ordinals and constructing a structured jamming efficiency evaluation framework, the proposed method improves the completeness and rationality of evaluation results. This approach provides a more effective means of assessing communication jamming efficiency. Methods The proposed evaluation method establishes a comprehensive index system for assessing communication jamming efficiency by integrating the characteristics of both communication systems and jamming techniques. The criterion layer is constructed based on anti-jamming technologies, while the index layer incorporates key indicators such as amplitude variation, frequency-domain dispersion, and time-domain coincidence degree. A combined weighting scheme is adopted using the Analytic Hierarchy Process (AHP) and the maximum deviation method to ensure both subjective and objective consistency. To overcome the limitations of single-dimensional evaluation, the q-rung orthopair fuzzy set is introduced, enabling more flexible representation of uncertainty. The CoCoSo method is applied to aggregate multiple scoring strategies, thereby enhancing the reliability of the evaluation results. To address the CoCoSo method’s limitation in parameter weighting, the BM operator is integrated into the model, ensuring a more balanced and comprehensive assessment. Results and Discussions Based on the established evaluation system, the proposed method utilizes simulation data (Figs. 3～6) and communication system parameters to construct the evaluation matrix. Standard normalization and q-rung fuzzy number transformation are applied to the collected data. The index weights are calculated using the combined AHP and maximum deviation methods. The CoCoSo-BM approach is then employed to comprehensively evaluate the index values under the specified communication environment. Comparative analysis with alternative evaluation methods (Fig. 7) indicates that the proposed method achieves higher discrimination capability across different communication scenarios. Sensitivity analysis (Fig. 8) further confirms its strong differentiation capacity. Evaluation results under varying q values, compromise coefficients, and communication environments (Figs. 9～11) demonstrate the method’s stability and robustness. Conclusions This study addresses the limitations of incompleteness and low discrimination in communication jamming efficiency evaluation by proposing a novel method based on the q-rung orthopair fuzzy set and CoCoSo-BM. By applying the q-rung orthopair fuzzy set—previously unused in communication efficiency assessments—and incorporating the BM operator into the CoCoSo framework, the proposed method enhances evaluation completeness and consistency. Simulation results under varied conditions demonstrate that: (1) the method achieves higher sensitivity than existing approaches; (2) the evaluation remains stable across different q values and compromise coefficients, enabling adaptive parameter selection; and (3) performance under varying signal-to-jamming ratios, system configurations, and jamming conditions confirms its robustness and adaptability in practical scenarios.
- Jamming efficiency evaluation,
- CoCoSo,
- q-rung orthopair fuzzy set,
- BM operator,
- Combined weighting

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References(19)

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