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基于犹豫模糊混合云模型的航空装备保障系统效能评估OA北大核心CSTPCD

Effectiveness Evaluation of Aviation Equipment Support System Based on Hesitant Fuzzy Hybrid Cloud Model

中文摘要英文摘要

针对航空装备保障系统效能评估过程存在定性指标与定量指标共存、评价信息具有不确定性等问题,提出了一种基于犹豫模糊混合云模型的效能评估方法.根据语言变量的转换与正态云模型之间的混合规则,将犹豫模糊语言术语集转换为梯形云模型,并根据云模型的数字特征,提出了犹豫模糊语言术语集的犹豫度函数与标度函数,实现了对定性指标的量化,兼顾了评价信息的犹豫性、模糊性和随机性.利用区间层次分析法结合灰狼优化算法对效能评估指标体系进行权重赋值,确定系统效能等级.通过应用实例与方法比较表明:犹豫模糊混合云模型不仅评估结果可靠,而且能够识别系统的运行状态,发现系统建设的短板,为提高系统效能提供重要的参考意见,更具有实用性.

Aiming at the problems of coexistence of qualitative and quantitative indicators and uncertainty of evaluation information in the effectiveness evaluation process of aviation equipment support system,an effectiveness evaluation method based on hesitant fuzzy hybrid cloud model is proposed.According to the hybrid rules between the transition of language variables and normal cloud models,the hesitant fuzzy language term set is transformed into a trapezoidal cloud model.Based on the numerical characteristics of the cloud model,the hesitation function and scale function of the hesitant fuzzy language term set are proposed,the qualitative indicators are quantified and the hesitation,fuzziness and randomness of the evaluation information are balanced.The effectiveness evaluation indicator system is weighted by using interval analytic hierarchy process and grey wolf optimization algorithm,the effectiveness degree of the system is determined.Through the comparison of application examples and methods,it shows that the hesitant fuzzy hybrid cloud model not only has reliable evaluation results,but also can identify the running state of the system and the shortcomings of the system construction are found,the important reference for improving the system effectiveness is provided and it is more practical.

张家贤;涂继亮;刘辉;叶身辉

南昌航空大学信息工程学院,南昌 330063

计算机与自动化

航空装备保障效能评估犹豫模糊语言术语集混合云模型联合权重赋值

aviation equipment supporteffectiveness evaluationhesitant fuzzy language term sethybrid cloud modeljoint weight assignment

《火力与指挥控制》 2024 (002)

18-25,32 / 9

国家自然科学基金(72261027);南昌航空大学研究生创新专项基金项目(YC2021-028)

10.3969/j.issn.1002-0640.2024.02.003

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