PREDICTION OF CONSTRUCTION DISPUTE USING ARTIFICIAL NEURAL NETWORKS TESTIMONIES FROM INDIAN CONSTRUCTION PROJECTS

The purpose of this paper is to facilitate construction project team members to figure out the factors that they must firmly monitor to complete projects without any dispute and also to predict construction dispute attributes during the course of a project. The study conferred here is an extension of past research in which 53 project dispute attributes were determined based on expert's opinion and literature survey which after analysis resulted in 4 factors which have been used to develop the dispute attribute prediction model based on artificial neural networks (ANN). The analyses of the responses led to the conclusion that factors such as Time phasing and requisite contracting legislation, Project financials and client contractor partnering, Quality and risk management under ambiguity, Non-responsive owner and unrealistic contractor rules significantly affect the project dispute attributes. The best prediction model was found to be a 5-9-1 feed forward neural network based on back propagation algorithm with a mean absolute percentage deviation (MAPD) of 12.22 percent