摘要
在分析现有相关文献的基础上,重点对当前利用神经网络、粗糙集、熵与模糊数学等理论的新综合评价方法进行了归类与总结,最后对综合评价方法的发展方向作了展望。
Based on the analysis of current related articles, the new multi-index comprehensive evaluation methods is classified and summarized, in which neural network, rough sets, entropy and fuzzy theory are adopted. Finally, the development directions of comprehensive evaluation methods is presented.
出处
《机电产品开发与创新》
2009年第4期24-25,28,共3页
Development & Innovation of Machinery & Electrical Products
基金
广东海洋大学自然科学基金资助项目(0812086)
关键词
多指标综合评价
权重确定
神经网络
粗糙集
熵
multi-index comprehensive evaluation
weight deterrmnation
neural network
rough sets
entropy
