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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

A system for predicting an initial profit of an international project in accordance with embodiments of the present invention comprises: a project database for storing risk evaluation information and profit rate information which specify an influence on project profitability of predetermined risk elements for each of projects carried out in the past; a variable extraction unit for extracting binomial risk evaluation independent variables which are reclassified into one of a positive influence element or a negative influence element from the risk evaluation information and binomial profitability dependent variables which are reclassified into one of a malignant property and non-malignant property from the profit rate information; and a nave Bayesian classifier model processing unit which specifies pre-conditional probability parameters in a learning step or a verification step, in accordance with a nave Bayesian classifier model based on the binomial risk evaluation dependent variables and the binomial profitability dependent variables provided for learning from the variable extraction units, and classifies the binomial profitability dependent variables into one of a malignant property or a non-malignant property in an actual prediction step based on the nave Bayesian classifier model having pre-conditional probability parameters specified in the learning step and binomial risk evaluation dependent variables of a new project that are inputted from the outside.
机译:根据本发明的实施例的用于预测国际项目的初始利润的系统包括:项目数据库,用于存储风险评估信息和利润率信息,该风险评估信息和利润率信息指定对于每个执行的项目的预定风险要素的项目获利能力的影响。以往;变量提取单元,用于从风险评估信息中提取被重分类为正影响元素或负影响元素之一的二项式风险评估自变量和被分类为恶性和非恶性之一的二项式获利相关变量从利润率信息;根据用于提供学习的二项式风险评估因变量和二项式获利性变量的朴素贝叶斯分类器模型,根据在学习步骤或验证步骤中指定前提概率参数的朴素贝叶斯分类器模型处理单元。变量提取单元,并基于具有在学习步骤中指定的前提概率参数和二项式风险的朴素贝叶斯分类器模型,在实际预测步骤中将二项式获利相关变量分类为恶性或非恶性之一从外部输入的新项目的评估相关变量。

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