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神经网络在Vroom-Jago决策风格选择模型中的应用

Application of Neural Network to the Vroom-Jago contingency model of leadership behavior

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【作者】 陈国润; 许晓兵;

【Author】 CHEN Guo-run, XU Xiao-Bing (College of Management, University of Shanghai for Science and Technology, Shanghai 200093 China)

【机构】 上海理工大学管理学院; 上海理工大学管理学院 上海200093; 上海200093;

【摘要】 研究了用人工神经网络技术 (ANN) 构建基于Vroom-Jago模型的应用软件,为决策者提供了一种简便高效的智能化决策工具. 通过对神经网络的再训练,可以对该模型作进一步的修正和扩展.

【Abstract】 The Vroom-Jago contingency model of leadership behavior is of great importance in behavioral science of decision-making. The problem how the software based on Vroom-Jago model and Artificial Neural Network would be developed, is depicted and one kind of convenient and highy efficient computer-aided decision-making tool for decision makers is provided. Through the retraining of the neural network, Vroom-Jago’s model can be revised and expanded further.

  • 【文献出处】 上海理工大学学报 ,Journal of University of Shanghai For Science and Technology , 编辑部邮箱 ,2002年03期
  • 【分类号】TP183
  • 【被引频次】1
  • 【下载频次】90
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