核安全条件下基于神经网络集成的供应商评价模型  

Neural network ensemble based supplier evaluation model in line with nuclear safety conditions

作　　者：王永刚[1] 常宝盛[1] 

机构地区：[1]华中科技大学管理学院

出　　处：《核科学与工程》2006年第3期257-262,共6页Nuclear Science and Engineering

摘　　要：核安全是核电站运行的关键目标。除了建立严格的运行规程外,确保核安全的重要方面之一就是对供应商的评价。供应商的选择与评价是一个包含定性分析和定量处理的分类问题,其中涉及的指标存在复杂的耦合关系,由此导致其中的数据存在高度的非线性特性。本文在对大亚湾核电站的实际管理运行状况进行调查分析的基础上,通过对国内外资料的搜集和分析,借鉴神经网络集成技术,建立与核安全相适应的供应商评价体系及其模型,提高了供应商选择过程的客观性。Nuclear safety is the most critical target for nuclear power plant operation. Besides the rigid operation procedures established, evaluation of suppliers working with plants can be another important aspects. Selection and evaluation of suppliers can be classified with qualitative analysis and quantitative management. The indicators involved are coupled with each other in a very complicated manner, therefore the relevant data show the strong characteristic of non-linearity. The article is based on the research and analysis of the real conditions of the Daya Bay nuclear power plant operation management. Through study and analysis of the information home and abroad, and with reference to the neural network ensemble technology, the supplier evaluation system and model are established as illustrated within the paper, thus to heighten objectivity of the supplier selection.

关 键 词：核安全 供应商 评价模型 神经网络集成 

分 类 号：F273.7[经济管理—企业管理]