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首页> 外文期刊>Expert systems with applications >MCELCCh-FDP: Financial distress prediction with classifier ensembles based on firm life cycle and Choquet integral
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MCELCCh-FDP: Financial distress prediction with classifier ensembles based on firm life cycle and Choquet integral

机译：MCELCCh-FDP：基于企业生命周期和Choquet积分的分类器集成的财务困境预测

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摘要

Financial distress prediction (FDP) has always been an important issue in the business and financial management. This research proposed a novel multiple classifier ensemble model based on firm life cycle and Choquet integral for FDP, named MCELCCh-FDP, as a new approach to tackle with financial distress. Empirical study based on Chinese listed companies' real data is conducted, and the results show that the proposed MCELCCh-FDP model has higher prediction accuracy than single classifiers. In order to verify the prediction capability of firm life cycle and Choquet integral in FDP model, comparative analysis is conducted. The experiment results indicate that the introduction of firm life cycle and Choquet integral in FDP can greatly enhance prediction accuracy.
机译：财务困境预测（FDP）一直是业务和财务管理中的重要问题。这项研究提出了一种新颖的基于企业生命周期和Choquet积分的FDP多分类器集成模型，称为MCELCCh-FDP，作为解决财务困境的新方法。基于中国上市公司的真实数据进行了实证研究，结果表明，所提出的MCELCCh-FDP模型的预测精度高于单个分类器。为了验证FDP模型中企业生命周期和Choquet积分的预测能力，进行了比较分析。实验结果表明，在FDP中引入企业生命周期和Choquet积分可以大大提高预测的准确性。

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