Industrial Engineering Journal ›› 2011, Vol. 14 ›› Issue (2): 75-79.

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Artificial Neural NetworkBased Safety Evaluation for Construction Site

  

  1. School of Mechanical Engineering,Tongji University,Shanghai 201804,China
  • Online:2011-04-30 Published:2011-07-06

Abstract: Safety evaluation for construction site is a challenge problem.The technique for safety assessment in the construction industry is not welldeveloped.The safety management of most China construction companies concerns only construction site inspections and reforming.It lacks techniques for overall safety analysis and effective monitoring.With the characteristics of building construction considered,a safety evaluation index system is developed for building construction site by integrating the existing safety assessment techniques.With this index system,an artificial neural network (ANN)based safety evaluation model is presented by combining analytical hierarchical process (AHP) and fuzzy theory.It is a new way for construction safety assessment.A case problem is used to show the detailed procedure for the application of the proposed method.  

Key words: artificial neural network (ANN), analytical hierarchical process (AHP), fuzzy theory, safety assessment, the situation of construction