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SYSTEM AND METHOD FOR INITIAL PROFIT PREDICTION MODEL FOR OVERSEAS CONSTRUCTION PROJECT

机译:海外建设项目初始利润预测模型的系统和方法

摘要

The initial profitability prediction system for an overseas construction project according to embodiments of the present invention includes a project database storing risk evaluation information and rate of return information that specifies the influence of predetermined risk factors on project profitability for each of the projects executed in the past , A binomial risk assessment independent variable that reclassifies risk assessment information into one of positive or negative influential factors, and a variable extractor that extracts binomial profitability dependent variables that are reclassified as either malicious or non-malicious In the verification step, the pre-conditional probability parameters are specified according to the binomial risk assessment independent variables provided for learning from the variable extraction unit and the Naive Beam Classifier model based on the binomial profitability dependent variable. In the actual prediction step, The A naive bezier classifier model with pre-conditional probability parameters and a naive bezier classifier model processor that classifies binomial profitability dependent variables either as malicious or non-malicious, based on binomial risk assessment independent variables of externally entered new projects can do.
机译:根据本发明实施例的用于海外建设项目的初始获利能力预测系统包括项目数据库,该项目数据库存储风险评估信息和收益率信息,该收益率信息和收益率信息指定了过去执行的每个项目的预定风险因素对项目获利能力的影响。 ,将风险评估信息重新分类为正面或负面影响因素之一的二项式风险评估自变量,以及变量提取器,其提取被重新分类为恶意或非恶意的二项式获利相关变量。在验证步骤中,前提条件是根据提供给变量提取单元学习的二项式风险评估独立变量和基于二项式获利因变量的朴素分类器模型来指定概率参数。在实际的预测步骤中,具有前提概率参数的A朴素贝塞尔分类器模型和基于外部输入的新二项风险评估独立变量的朴素贝塞尔分类器模型处理器将二项式获利相关变量分类为恶意或非恶意项目可以做。

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