基于改进的灰色综合关联度方法的效能评估分析  被引量:5

Analysis of Effectiveness Evaluation Based on Improved Gray Synthesize Relational Degree

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作  者:黄国庆[1,2] 苏琳[1] 

机构地区:[1]郑州大学信息工程学院,河南郑州450001 [2]空军第一航空学院,河南信阳464000

出  处:《指挥控制与仿真》2015年第3期90-93,共4页Command Control & Simulation

摘  要:针对传统灰色综合关联度在指标权重确定和灰色判断矩阵建立上的主观性较强的缺点,提出了改进的灰色综合关联度方法,即运用组合赋权思想,将客观信息与主观信息结合,得到指标的组合权重,既考虑了专家决策的偏好,又减少了指标的主观性。在建立灰色关联评价矩阵的时候,采用评判区间来代替传统的单一评判值,增加了最后评估的可靠性。最后通过实例对该方法进行了验证和分析。结果表明,采用改进的灰色综合关联度分析法对系统进行评估是可行的,而且与传统的灰色综合关联度法相比,该方法所得到的评估结果更加有效。In order to reduce subjectivity which appears during establishing index weights and gray decision-matrix of tradi- tional gray synthesize relational degree, the improved gray synthesize relational degree is proposed in this paper. Combination weight is achieved by both objective information and subjective information based on combination weighting theory. Thus, preference of experts decision is considered and subjective of indexes can be reduced. Single judging value is replaced by judging interval which can increase reliability for final evaluation. At last, an example is given to test and analyze this method. The result shows that improved gray synthesize relational degree is feasible for effectiveness evaluation. And it is more effective than traditional gray synthesize relational degree.

关 键 词:灰色综合关联度 主观信息 评判区间 效能评估 

分 类 号:E917[军事]

 

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