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模糊综合评判的神经网络方法在损害分析中的应用
引用本文:隋伟莹,王明明,邹开其.模糊综合评判的神经网络方法在损害分析中的应用[J].大连大学学报,2004,25(6):16-18.
作者姓名:隋伟莹  王明明  邹开其
作者单位:1. 北京化工大学,经济管理学院,北京,100029
2. 大连大学,信息工程学院,辽宁,大连,116622
摘    要:本文针对反倾销中损害案件的调查,在满足法律条文规定的基础上,采用模糊综合评判的神经网络方法,优化损害和损害程度的综合评判模型中企业经营指标的评判指标权重,进而采用优化后的权重进行损害和损害程度的综合评判.使评判过程和结果更加具有科学性,也使反倾销损害调查的裁决更加具有公共性和透明度.此方法对政府有关部门裁决倾销和反倾销案件有一定的辅助决策.

关 键 词:反倾销  模糊综合评判  神经网络  损害  损害程度  权重
文章编号:1008-2395(2004)06-0016-03
修稿时间:2003年11月11

Application of the method of neural network on fuzzy multifactorial evaluation in injury analysis
SUI Wei-ying,WANG Ming-ming,ZOU Kai-qi.Application of the method of neural network on fuzzy multifactorial evaluation in injury analysis[J].Journal of Dalian University,2004,25(6):16-18.
Authors:SUI Wei-ying  WANG Ming-ming  ZOU Kai-qi
Abstract:Based on the regulations,a method of neural network on fuzzy multifactorial evaluation is used in injury research of anti-dumping cases to optimize enterprises' indexes weights in infury and injury degree multifactorial evaluation model. Injury and injury degree multifactorial evaluation using optimized indexes weights is more scientific and reasonable, so that high fair and transparent judgment can be obtained in the injury and injury degree research of anti-dumping cases. This method can offer assistance to government departments in the final judgment on dumpng and anti-dumping cases.
Keywords:anti-dumping  fuzzy multifactorial evaluation  neural network  injury  injury degree  weight
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