Classifying compensations in construction disputes using machine learning techniques
Joint Authors
Ayhan, Murat
Dikmen, Irem
M. Talat Birgonul
Source
Journal of Engineering Research
Issue
Vol. 11, Issue 1 B (31 Mar. 2023), pp.101-111, 11 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2023-03-31
Country of Publication
Kuwait
No. of Pages
11
Main Subjects
Abstract EN
It is highly probable to encounter disputes in construction projects and construction disputes are detrimental as they may lead to cost overruns and delays.
Knowing the compensation with some certainty can avoid parties from extending inconclusive claims.
Decision support systems can be helpful to understand the aspect of the compensation, if any compensation can be acquired.
Within this context, the primary objective of this research is to predict the associated compensations in construction disputes by using machine learning (ML) techniques on past project data so that in new projects, decision support can be provided with some certainty via forecasts on the aspect of the compensation.
To do this, a conceptual model identifying the attributes affecting compensations was established based on an extensive literature review.
Using these attributes, data from real-world dispute cases were collected.
Insignificant attributes were eliminated via Chi-square tests to establish a simpler classification model, which was experimented via alternative single and ensemble ML techniques.
The Naïve Bayes (NB) classifier generated the highest average classification accuracy as 80.61% when One-vs-All (OvA) decomposition technique was utilized.
The conceptual model can guide construction professionals during dispute management decisionmaking and the promising results indicate that the classification model has the potential to identify compensations.
This study can be used to mitigate disputes by preventing parties from resorting to unpleasant and inconclusive resolution processes
American Psychological Association (APA)
Ayhan, Murat& Dikmen, Irem& M. Talat Birgonul. 2023. Classifying compensations in construction disputes using machine learning techniques. Journal of Engineering Research،Vol. 11, no. 1 B, pp.101-111.
https://search.emarefa.net/detail/BIM-1495427
Modern Language Association (MLA)
Ayhan, Murat…[et al.]. Classifying compensations in construction disputes using machine learning techniques. Journal of Engineering Research Vol. 11, no. 1 B (Mar. 2023), pp.101-111.
https://search.emarefa.net/detail/BIM-1495427
American Medical Association (AMA)
Ayhan, Murat& Dikmen, Irem& M. Talat Birgonul. Classifying compensations in construction disputes using machine learning techniques. Journal of Engineering Research. 2023. Vol. 11, no. 1 B, pp.101-111.
https://search.emarefa.net/detail/BIM-1495427
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 109-110
Record ID
BIM-1495427