Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

MS Islam, MP Nepal, M Skitmore… - Advanced Engineering …, 2017 - Elsevier
Fuzzy and hybrid methods have been increasingly used in construction risk management
research and this study aims to compile and analyse the basic concepts and methods …

A review of artificial intelligence based risk assessment methods for capturing complexity-risk interdependencies: Cost overrun in construction projects

F Afzal, S Yunfei, M Nazir, SM Bhatti - International Journal of …, 2021 - emerald.com
Purpose In the past decades, artificial intelligence (AI)-based hybrid methods have been
increasingly applied in construction risk management practices. The purpose of this paper is …

Towards a fuzzy Bayesian network based approach for safety risk analysis of tunnel‐induced pipeline damage

L Zhang, X Wu, Y Qin, MJ Skibniewski, W Liu - Risk Analysis, 2016 - Wiley Online Library
Tunneling excavation is bound to produce significant disturbances to surrounding
environments, and the tunnel‐induced damage to adjacent underground buried pipelines is …

DEMATEL-ANP risk assessment in oil and gas construction projects

G Dehdasht, R Mohamad Zin, MS Ferwati… - Sustainability, 2017 - mdpi.com
Oil and gas construction projects are complex and risky because of their dynamic
environment. Furthermore, rising global energy demand has increased the need for …

BIM-based solution to enhance the performance of public-private partnership construction projects using copula bayesian network

S Ghorbany, E Noorzai, S Yousefi - Expert Systems with Applications, 2023 - Elsevier
Public-private partnerships (PPPs) are efficient methods for constructing infrastructures that
create many opportunities, specifically in financial crises. However, the cost/time overruns …

Bayesian network based decision support for predicting and mitigating delay risk in TBM tunnel projects

GCK Balta, I Dikmen, MT Birgonul - Automation in Construction, 2021 - Elsevier
Tunnel projects involve high levels of uncertainty stemming from the vagueness of
geological conditions and the complexity of the mechanized tunnel boring process. Delay …

A failure probability evaluation method for collapse of drill-and-blast tunnels based on multistate fuzzy Bayesian network

GH Zhang, W Chen, YY Jiao, H Wang, CT Wang - Engineering Geology, 2020 - Elsevier
Collapse is one of the main hazards during tunnel construction by the drill-and-blast method.
In order to evaluate the collapse risk and provide a basis for risk control, a failure probability …

Deterministic and probabilistic risk management approaches in construction projects: A systematic literature review and comparative analysis

A Khodabakhshian, T Puolitaival, L Kestle - Buildings, 2023 - mdpi.com
Risks and uncertainties are inevitable in construction projects and can drastically change
the expected outcome, negatively impacting the project's success. However, risk …

Scenario analysis of mine water inrush hazard using Bayesian networks

J Wu, S Xu, R Zhou, Y Qin - Safety Science, 2016 - Elsevier
Mine water inrushes involve in many unidentified or new risk factors due to the complex
hydrogeological features arising with the increasing mining depth. This creates a higher …

Consequence-based framework for buried infrastructure systems: A Bayesian belief network model

G Kabir, NBC Balek, S Tesfamariam - Reliability engineering & system …, 2018 - Elsevier
The failure of municipal buried infrastructures (potable water supply, wastewater systems,
and stormwater systems) may cause crucial consequences to the environment, society …