Currently, significant development of methods supporting decision making under uncertainty conditions is observed. One of such methods includes Bayesian networks used in many fields of economy and science. The paper presents the use of the Bayesian network method in civil engineering problems with particular emphasis on construction engineering projects. In addition to the existing examples of the use of the method cited, the authors’ method for the risk estimation of additional works is presented
Purpose: Bayesian approaches have been widely applied in construction management (CM) research due t...
This paper presents an advanced computational approach to assess the risk of damage to masonry build...
The pricing of items of construction work using Component Unit Pricing (CUP) Theory requires that co...
Currently, significant development of methods supporting decision making under uncertainty condition...
Although risk control is a key step in risk management of construction projects, very often risk mea...
The authors demonstrate how expert knowledge about the construction and operation phases combined wi...
Bayesian Networks (BN) are efficient to represent knowledge and for the reasoning in uncertainty. Ho...
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Int...
Bayesian networks (BNs) offer unique benefits for combining data and expert knowledge to model compl...
Risk management is considered as a vital process contributing to the successful outcome of a complex...
This paper presents a methodology to systematically assess and manage the risks associated with tunn...
The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the ass...
The study aims to establish a risk assessment methodology to improve the performance of building con...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Purpose: Bayesian approaches have been widely applied in construction management (CM) research due t...
This paper presents an advanced computational approach to assess the risk of damage to masonry build...
The pricing of items of construction work using Component Unit Pricing (CUP) Theory requires that co...
Currently, significant development of methods supporting decision making under uncertainty condition...
Although risk control is a key step in risk management of construction projects, very often risk mea...
The authors demonstrate how expert knowledge about the construction and operation phases combined wi...
Bayesian Networks (BN) are efficient to represent knowledge and for the reasoning in uncertainty. Ho...
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Int...
Bayesian networks (BNs) offer unique benefits for combining data and expert knowledge to model compl...
Risk management is considered as a vital process contributing to the successful outcome of a complex...
This paper presents a methodology to systematically assess and manage the risks associated with tunn...
The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the ass...
The study aims to establish a risk assessment methodology to improve the performance of building con...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
An organization’s strategic objectives are accomplished through portfolios. However, the mater...
Purpose: Bayesian approaches have been widely applied in construction management (CM) research due t...
This paper presents an advanced computational approach to assess the risk of damage to masonry build...
The pricing of items of construction work using Component Unit Pricing (CUP) Theory requires that co...