Due to the nature of the construction industry, disputes arise frequently. Resolving these disputes through the court system is both a time- and cost-consuming process. The outcome of construction litigation is normally affected by a large number of complex and interrelated factors and therefore is very difficult to predict. Methods to predict the outcome of construction litigation are not available today because this decision carries very big risks. In this study, case-based reasoning (CBR) is used to predict the outcome of construction litigation tried in Illinois circuit courts. These circuit court cases are organized in 43 input features and 1 output feature. If CBR systems such as the one developed in this study (prediction rate 83%) a...
In the long-term use of the Case-based reasoning (CBR) model for early-stage construction cost estim...
Estimating project cost can be fairly challenging during the project's early stages due to the ...
The work presented in this paper is aimed at investigating the extent to which both ‘user and system...
The outcome of construction litigation depends on a large number of factors. To predict the outcome ...
Series: Lecture notes in computer scienceAuthor name used in this publication: K. W. Chau2005-2006 >...
In this study, neural networks were used to predict the outcome of construction litigation. Disagree...
Traditional expert systems model human problem solving as a deductive process. They construct a solu...
Traditional expert systems model human problem solving as a deductive process. They construct a sol...
Case-based reasoning (CBR) has been widely adopted in construction management (CM) research due to t...
Case-based reasoning (CBR) has been extensively employed in various construction management areas, i...
Case-based reasoning (CBR) approach recalls and learns from previous cases to resolve or provide rec...
To increase the quality of decision making in construction companies, organizational memory should b...
Case-based reasoning (CBR) is a methodology that is seeing increasing use to make predictions during...
Considering the experience-orientation of the construction industry, the valuable experience of simi...
AbstractCase-based reasoning (CBR) is a methodology that is seeing increasing use to make prediction...
In the long-term use of the Case-based reasoning (CBR) model for early-stage construction cost estim...
Estimating project cost can be fairly challenging during the project's early stages due to the ...
The work presented in this paper is aimed at investigating the extent to which both ‘user and system...
The outcome of construction litigation depends on a large number of factors. To predict the outcome ...
Series: Lecture notes in computer scienceAuthor name used in this publication: K. W. Chau2005-2006 >...
In this study, neural networks were used to predict the outcome of construction litigation. Disagree...
Traditional expert systems model human problem solving as a deductive process. They construct a solu...
Traditional expert systems model human problem solving as a deductive process. They construct a sol...
Case-based reasoning (CBR) has been widely adopted in construction management (CM) research due to t...
Case-based reasoning (CBR) has been extensively employed in various construction management areas, i...
Case-based reasoning (CBR) approach recalls and learns from previous cases to resolve or provide rec...
To increase the quality of decision making in construction companies, organizational memory should b...
Case-based reasoning (CBR) is a methodology that is seeing increasing use to make predictions during...
Considering the experience-orientation of the construction industry, the valuable experience of simi...
AbstractCase-based reasoning (CBR) is a methodology that is seeing increasing use to make prediction...
In the long-term use of the Case-based reasoning (CBR) model for early-stage construction cost estim...
Estimating project cost can be fairly challenging during the project's early stages due to the ...
The work presented in this paper is aimed at investigating the extent to which both ‘user and system...