Title: Improvement and simulation of cost risk assessment model for intelligent building engineering

Authors: Yuping Zeng; Fang Yu

Addresses: Sichuan College of Architectural Technology, Deyang, Sichuan, 618000, China ' College of Civil Engineering, Hunan City University, Yiyang Hunan, 413000 China

Abstract: In order to reduce engineering cost and improve engineering quality and to realise risk cost forecast for intelligent building engineering cost. A novel risk assessment model for intelligent building engineering cost based on Markov model and adaptive equilibrium cooperative game is proposed. Firstly, constrained parameter model for building engineering cost risk assessment is constructed, and Markov model is adopted for engineering cost risk assessment objective function building. Secondly, the cost and quality of engineering cost are compared for balance cooperative game. Recursive analysis method is used for the adaptive optimisation of engineering cost's risk cost to achieve the associated fusion processing for engineering cost risk parameter value; Finally, fuzzy directive clustering method is used to achieve building engineering cost risk assessment and forecasting. Simulation results show that the method can be used to evaluate the cost of intelligent building, which improves the accurate forecasting ability of engineering cost and reduces the cost of engineering risk.

Keywords: building; engineering cost; risk assessment; prediction; Markov model.

DOI: 10.1504/IJCSM.2020.111110

International Journal of Computing Science and Mathematics, 2020 Vol.12 No.2, pp.177 - 191

Received: 08 Jan 2018
Accepted: 14 May 2018
Published online: 10 Nov 2020 *

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