摘要
传统的仿真可信度评估方法是基于同层指标之间相互独立的假设进行决策分析的,该假设与仿真系统可信度评估的实际情况不相符.针对这一问题,首先,结合摆幅置权法和比例标度法给出了一种新的2-可加模糊测度确定方法,以此对指标间交互关系进行定量描述,并在理论上证明了该方法的正确性;然后,基于所得2-可加模糊测度,使用Choquet模糊积分对仿真系统的评估信息进行聚合,得到仿真系统的可信度;最后,通过实例验证了所提出方法的有效性和合理性.
Decision-making using traditional methods for simulation credibility evaluation is based on the hypothesis of independence between indicators. This hypothesis does not conform to the actual condition of simulation credibility evaluation. Therefore, a new algorithm is proposed to identify 2-additive fuzzy measures based on the swing weighting and proportion criteria. The correctness of the algorithm is proved. Then, based on the identified 2-additive fuzzy measures, simulation credibility is obtained by using Choquet integral to aggregate the evaluation information. Finally, an example is given to validate the effectiveness of the proposed approach.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第1期147-151,共5页
Control and Decision
