系统仿真学报 ›› 2020, Vol. 32 ›› Issue (12): 2469-2474.doi: 10.16182/j.issn1004731x.joss.20-FZ0470

• 仿真模型/系统置信度评估技术 • 上一篇    下一篇

基于改进模糊综合评判的仿真可信度评估方法

冉培志1, 李伟1, 鲍然2, 马萍1   

  1. 1.哈尔滨工业大学控制与仿真中心,黑龙江 哈尔滨 150001;
    2.上海机电工程研究所,上海 201109
  • 收稿日期:2020-04-30 修回日期:2020-06-30 出版日期:2020-12-18 发布日期:2020-12-16
  • 作者简介:冉培志(1998-),男,土家族,四川成都,硕士生,研究方向为复杂仿真系统可信度评估;李伟(1980-),男,黑龙江望奎,博士,教授,研究方向为复杂系统建模与评估。
  • 基金资助:
    国家重点研发计划(2018YFB1701600)

A Simulation Credibility Assessment Method Based on Improved Fuzzy Comprehensive Evaluation

Ran Peizhi1, Li Wei1, Bao Ran2, Ma Ping1   

  1. 1. Control and Simulation Center,Harbin Institute of Technology,Harbin 150001,China;
    2. Shanghai Institute of Mechanical and Electrical Engineering,Shanghai 201109,China
  • Received:2020-04-30 Revised:2020-06-30 Online:2020-12-18 Published:2020-12-16

摘要: 针对基于传统模糊综合评判的仿真可信度评估过程中专家根据个人偏好或期望确定权重、模糊合成运算选择不合理等引起的评估结果不准确等问题,提出了一种基于改进模糊综合评判的仿真可信度评估方法。针对树型评估指标体系,利用模糊综合评判矩阵,基于最小隶属度加权平均偏差确定评估指标体系中各层指标的权重;在模糊合成运算环节,利用隶属度加权平均偏差,获取综合评价向量,进而得到仿真可信度评估结果;应用于某半实物仿真系统可信度评估中,计算结果验证了该方法的合理性和可行性。

关键词: 可信度评估, 模糊综合评判, 最小隶属度加权平均偏差, 树型评估指标体系

Abstract: Aiming at the problems of inaccurate evaluation results caused by experts in the process of simulation credibility evaluation based on traditional fuzzy comprehensive evaluation according to personal preferences or expectations,and unreasonable selection of fuzzy synthetic calculations,a simulation credibility evaluation method based on improved fuzzy comprehensive evaluation is proposed.For the tree-like assessment index system,the fuzzy comprehensive evaluation matrix is used to determine the weight of each index in the assessment index system based on the minimum membership weighted average deviation;in the fuzzy synthesis operation,the membership evaluation weighted average deviation is used to obtain the comprehensive evaluation vector,and then the simulation credibility evaluation result is obtained;it is applied to the credibility assessment of a hardware-in-the-loop simulation system,and the calculation results verify the rationality and feasibility of the method.

Key words: credibility assessment, fuzzy comprehensive evaluation, weighted average deviation of minimum membership degree, tree-like assessment index system

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