Research on digital decision analysis of engineering construction based on project portfolio model
YANG Chuntian
Abstract：In order to enhance the scientific nature and decision-making efficiency of engineering construction project group management,this article introduces a feature clustering method for engineering construction project groups based on a composite model,and analyzes how to achieve rational classification of project groups using multi-dimensional feature vectors and weighted distance measurements.It employs 3D models and temporal functions to dynamically display engineering progress and resource allocation.Additionally,a knowledge-based decision support system is utilized,which leverages machine learning algorithms such as decision trees and random forests to extract knowledge from historical data and provide intelligent decision-making suggestions for current projects.The practical application effect of the method was verified through comparative testing.The results indicate that the clustering method based on the composite model could effectively identify project group features and achieve rational classification.The 3D dynamic visualization technology could intuitively display engineering progress and resource allocation.The intelligent decision support system could significantly improve the accuracy and efficiency of decision-making.
Keywords：project portfolio modeldigitizationdecisionvisualization
Publication Date：2025-09-25
Pages：4( 84-87 )