基于模糊神经网络模型的中国电力装备制造产业安全评价研究  

Safety Evaluation of China's Power Equipment Manufacturing Industry Based on Fuzzy Neural Network Model

作　　者：杨林[1] 白玉慧[2] 仝凤鸣 王菲[2] 陈晓征[3] 

机构地区：[1]华中科技大学经济学院,湖北武汉430074 [2]华北水利水电大学管理经济学院,河南郑州450045 [3]许继集团有限公司,河南许昌461000

出　　处：《电网与清洁能源》2015年第2期1-8,共8页Power System and Clean Energy

基　　金：国家社科基金青年项目(批准号12CGL101);国家社科基金重点项目(批准号11AXW006)~~

摘　　要：电力装备制造产业的安全问题,是关系中国电力能源业安全,甚至关系国民经济安全的重大问题。为了定量地综合评价电力装备制造产业的安全状况,结合目前电力装备制造业的行业特点,根据影响电力装备制造产业安全的因素,建立了包括产业国内环境、产业国际竞争力、产业对外依存度、产业控制力等4个单元、16个指标的多因素多级指标评价体系。采用模糊神经网络评价模型,通过定量的方式对中国电力装备制造产业的安全状态进行了综合评价,得出中国水电设备制造产业的产业安全状况为"良好"的结论,同时也证明了模糊神经网络模型应用于安全评价的可行性。The security of the power equipment manufac-turing industry is a major issue, which has a lot to do with China's electricity energy security, even national economic security. To quantitatively and comprehensively assess the security of the industry, a multi-factor, multi-layer evaluation system with 4 units and 16 indexes covering the domestic environment, international competitiveness and dependence on foreign industry and industrial control is established based on the characteristics of the current industry and according to the factors affecting the industry's security. A comprehensive security evaluation of China's power equipment manufacturing industry is conducted using the fuzzy neural network evaluation model. The evaluation result shows that the security of China's hydropower equipment manufacturing industry is in the' good'condition.

关 键 词：电力装备 安全评价 指标体系 模糊神经网络模型 

分 类 号：F426.61[经济管理—产业经济] F224