摘要
对粗糙集理论在多指标综合评价中的应用进行研究,分析如何利用粗糙集进行权重确定,以及如何结合粗糙集与神经网络进行综合评价。提出基于粗糙集的距离综合评价方法,并用算例验证其有效性。
Application of rough sets in multi-index comprehensive evaluation is studied.How to determine synthetic weights with rough sets is analyzed,and how to combine rough sets and neural network for comprehensive evaluation is described.Finally,a new method of distance comprehensive evaluation based on rough sets is proposed,and its validity is verified by an example.
出处
《现代制造工程》
CSCD
2005年第S1期4-7,共4页
Modern Manufacturing Engineering
基金
广东省高教厅项目(Z03048)
湛江市科技攻关资助项目
