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High-tech SMEs Financing Risk Prediction Management based on CBR

机译:基于CBR的高科技中小企业融资风险预测管理

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摘要

High-tech SMEs required substantial capital investment is capital and knowledge-intensive business, which associated with high yield and high risk. Shortage of funds is the main negative factors to restrict the growth of high-tech SMEs. Financing risk predictive control for high-tech SMEs has become particularly important. In this paper, based on case-based reasoning (CBR), case database of corporate finance risk prediction management is built. The greatest success stories similarity with unsolved problem can be resolved through case retrieval method. So the risk prediction management method is achieved for SMEs. At the same time, the decision-making would be more scientific and objective for all the lenders, shareholders and managers.
机译:高科技中小企业需要大量的资本投资是资本和知识密集型业务,这与高收益和高风险相关。资金短缺是制约高科技中小企业成长的主要不利因素。高科技中小企业的风险预测控制融资已变得尤为重要。本文基于案例推理(CBR),建立了企业财务风险预测管理案例数据库。最大成功案例与未解决问题的相似性可以通过案例检索方法解决。因此,实现了中小企业的风险预测管理方法。同时,对于所有贷方,股东和经理而言,决策将更加科学和客观。

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