Evaluating Performance of Integrated Avionics System Using Improved Fuzzy Assessment Method
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摘要: 针对航电系统综合性能评估过程中,传统模糊评判法在模糊关系矩阵和属性权重的确定上存在主观性、盲目性和可信度不高等缺陷,提出了结合分类统计法、熵权法和离差最大化法的改进型模糊评判模型。建立了模糊评估参数区间,对仿真数据统计分类以确定模糊关系矩阵,同时将熵权法和离差最大化法相结合来确定指标的权重值,使得评估过程更加科学客观。以AFDX航电系统为例,选取网络负载和延迟时间为指标,应用改进算法对航电系统性能进行评价。评价过程脱离了人为主观因素的影响,评价结果更具有可信性,即模型合理性得到验证。Abstract: Because of the low credibility, subjectivity and blindness of the traditional fuzzy assessment method in determining the fuzzy relationship matrix and the multi-attribute weighting coefficients during evaluating the performance of an integrated avionics system, we propose an improved fuzzy assessment method which combines the classification and statistics theory, the entropy weighting a more scientific and objective assessment, we establish data so as to establish the fuzzy relationship matrix and method and the maximum deviation method. To guarantee a fuzzy evaluation parameter range, classify the simulation determine the weighting values of indicators by combining the entropy weighting method with the maximum deviation method. We use the AFDX （avionics full duplex switched ethernet） avionics system as an example and select the network load and delay time as evaluation indicators to evaluate the performance of the integrated avionics system with our improved fuzzy assessment method. The simulation results show that the evaluation with our improved fuzzy assessment method can obtain more credible resuits without any human subjectivity, thus verifying the validity of our method.
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