Research on Group Decision Making of Large-scale Engineering Based on Uncertain Decision Tree Classification Algorithms
A decision-making model of drilling engineering risk based on decision tree classification algorithm is proposed and constructed according to the characteristics of drilling expert decision-making process and the shortcomings of traditional CBR technology to realize intelligent decision-making of drilling engineering risk.Decision tree method is an important classification method in data mining.Decision tree is a tree structure that similar to flow chart.Among them,each internal node of tree represents the test of an attribute,its branches represent the test results,and each leaf node of tree represents a category.The decision tree model is used to classify a record,which is to find a path from root to leaf according to the attribute test results in the model.The attribute value of the last leaf node is the classification result of this record,and thus constructed a risk case retrieval model.The field test results show that the model effectively improves the accuracy and recall of case retrieval.A prototype system of drilling engineering risk decision-making is developed based on the above,which provides efficient decision support for drilling experts and technicians.
Engineering risk Decision-making Classification tree Case-based reasoning Pruning
Wei Chen
University of Shanghai for Science & Technology,Business School,Shanghai
国际会议
三亚
英文
383-387
2019-12-30（万方平台首次上网日期，不代表论文的发表时间）