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基于模糊神经网络的员工晋升辅助决策系统

任欣欣 李强 武振业

任欣欣, 李强, 武振业. 基于模糊神经网络的员工晋升辅助决策系统[J]. 西南交通大学学报, 2006, 19(2): 245-249.
引用本文: 任欣欣, 李强, 武振业. 基于模糊神经网络的员工晋升辅助决策系统[J]. 西南交通大学学报, 2006, 19(2): 245-249.
REN Xinxin, LI Qiang, WU Zhenye. Computer Aided Decision-Making System for Staff Promotion Based on Fuzzy Neural Network[J]. Journal of Southwest Jiaotong University, 2006, 19(2): 245-249.
Citation: REN Xinxin, LI Qiang, WU Zhenye. Computer Aided Decision-Making System for Staff Promotion Based on Fuzzy Neural Network[J]. Journal of Southwest Jiaotong University, 2006, 19(2): 245-249.

基于模糊神经网络的员工晋升辅助决策系统

详细信息
    作者简介:

    任欣欣(1972- ),女,博士研究生,研究方向为现代企业管理理论与方法,电话:021-58882661,E-mail:rxinxin@tianan-insurance.com;武振业(1940- ),男,教授,E-mail:wuye1011@126.com

    任欣欣(1972- ),女,博士研究生,研究方向为现代企业管理理论与方法,电话:021-58882661,E-mail:rxinxin@tianan-insurance.com;武振业(1940- ),男,教授,E-mail:wuye1011@126.com

Computer Aided Decision-Making System for Staff Promotion Based on Fuzzy Neural Network

  • 摘要: 为定量地分析企业员工晋升决策过程的影响因素,用基于实例的模糊神经网络方法,通过划分非模糊化和模糊化输入变量,改进了Takagi-Sugeno模糊模型.用包含求和、求积和求极小运算节点的扩展的pi-sigma神经网络学习算法确定结论参数和前提参数,自适应地从员工数据库中归纳出模糊逻辑关系,建立企业晋升决策的辅助系统.经算例验证准确率达75%以上.

     

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出版历程
  • 收稿日期:  2004-10-08
  • 刊出日期:  2006-04-25

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