摘要
针对仿真系统可信性评估中所涉及的不确定性和模糊性因素,提出了基于二元语义的评估方法。将专家针对各指标和因素给出的语言信息用二元语义的方式来表示,结合最优化模型的群决策方法,对因素层的评价信息进行集结,依此作为各指标的群体评价值,利用LOWA算子对指标层的权重信息进行集结,采用加权平均算子对指标层进行集结,得到二元语义形式的仿真系统可信性综合评价值。最后通过实例分析证明该方法的实用性和可操作性。
Considering the uncertainty and fuzzy factors in the process of credibility evaluation of simulation system, a new evaluation method based on two-tuple linguistic method was proposed. Firstly, the expert＇s linguistic information of attribute and factor was represented in the form of two-tuple linguistic. Then, the group evaluation of each attribute can be obtained by mass the evaluation of factors based on group decision method of optimization model, and the weight of each attribute could be massed through aggregation operator of Linguistic Order Weighted Averaging （LOWA）. Furthermore, the weighting average operator was proposed and adopted to obtain the comprehensive evaluation of the credibility of simulation system in two-tuple form. Finally, an example was given to illustrate the reasonability and validity of the proposed method.
出处
《电光与控制》
北大核心
2010年第12期41-43,70,共4页
Electronics Optics & Control
基金
陕西省自然科学基金(2007F40)
总装备部"十一.五"武器装备预先研究项目(513040104)
关键词
可信性评估
仿真系统
二元语义
集结算子
群评价
credibility evaluation
simulation system
two-tuple linguistic
aggregation operators
group evaluation
