The effectiveness evaluation of the Electronic Information (ELINT) system, which plays an important role in guiding the theoretical research, equipment development, and practical application, is the key technology of the ELINT system. In practical applications, the effectiveness evaluation of ELINT system is mainly aimed at evaluation methods. However, the establishment of evaluation criteria and the construction of the index system are still two main challenges in this field, especially the optimization of the evaluation index system. In this paper, we aim at establishing the ELINT system index evaluation criteria and optimizing the ELINT system evaluation index system. Based on the principle structure of the ELINT system, we directly construct the original efficiency index system, establish specific evaluation criteria for each index, and quantify the indexes using the criteria. To optimize the proposed index system, we introduce the idea of rough set reduction and develop an index system reduction model based on the mutual information heuristic knowledge reduction (MIBARK) algorithm. Simulation analysis shows that the proposed evaluation criteria quantify each index scientifically, and the established indicator reduction model can eliminate the redundancy of the ELINT efficiency indicator system, making the indicator system more streamlined and reasonable.

中文翻译：

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基于MIBARK算法的ELINT系统索引摘录方法。

电子信息系统（ELINT）的有效性评估在指导理论研究，设备开发和实际应用中起着重要作用，是ELINT系统的关键技术。在实际应用中，ELINT系统的有效性评估主要针对评估方法。但是，建立评价标准和建立指标体系仍然是该领域的两个主要挑战，尤其是评价指标体系的优化。本文旨在建立ELINT系统评估指标体系，优化ELINT系统评估指标体系。根据ELINT系统的原理结构，我们直接构建原始的效率指标体系，为每个指标建立具体的评估标准，并使用标准量化指标。为了优化建议的索引系统，我们引入了粗糙集约简的思想，并基于互信息启发式知识约简（MIBARK）算法开发了索引系统约简模型。仿真分析表明，所提出的评价标准对各指标进行了科学量化，所建立的指标缩减模型可以消除ELINT效率指标体系的冗余性，使指标体系更加精简合理。