摘要
评价伪装效果往往涉及很多因素指标,各因素指标的权重分配对评价结果有重要的影响.分析指出了现有伪装效果评价过程中的各因素指标权重确定方法中存在的不足,提出依据粗糙集理论,结合模糊聚类的方法,建立了基于信息熵的权重分配算法模型.以光学伪装效果评价中指标权重的确定为例,分析比较了依据专家评判方法确定的权重与基于权重分配算法模型确定的权重的差别,同时,验证了该方法的科学性、有效性.
Many factors were taken into account in effective evaluation of camouflage, therefore, weights allocation of multi-factors were more important step, In this field, lots of methods were explored, but flaw existed. First, the lacks are described in weights allocation whose method based on the experience of experts, a new method combined rough set theory and fuzzy clustering is applied, thus, the model is established based on information entropy about weight allocation. Finally, an example for optical camouflage in effective evaluation is provided in weight allocation, the difference is presented, the method is proved scientifically and effectually when it＇ s used.
出处
《光电技术应用》
2007年第4期73-76,共4页
Electro-Optic Technology Application
关键词
伪装
效果评价
粗糙集
信息熵
权重分配
camouflage
effective evaluation
rough set
information entropy
weight allocation
