基于粗糙集信息熵投资优序评价模型实证研究

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本文根据投资中风险评价的实际操作,引入粗糙集信息熵理论,导出基于熵权的投资优序模型,通过实际投资项目进行优序评价实证研究,说明本方法具有实用性和较强的操作性。本文以期克服目前相关领域研究文献基本停留在方法研究阶段、所给的证例过于简单、没有实际运用价值等缺陷,也尝试探索粗糙集理论在投资管理中的应用。 Based on the actual operation of risk evaluation in investment, this paper introduces the theory of Rough Set Theory of Information Entropy, derives the investment sequence model based on entropy weight, and empirically studies the sequence evaluation through the actual investment projects, which shows that the method is practical and has strong operability . In this paper, we try to overcome the current research literature in the related fields and stay in the method research stage. The examples are too simple and have no practical value. We also try to explore the application of rough set theory in investment management.
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