• Predicting the outcome of cons...

Treffer: Predicting the outcome of construction litigation using neural networks

Title:
Predicting the outcome of construction litigation using neural networks
Authors:
ARDITI, D, OKSAY, F. E, TOKDEMIR, O. B
Source:
Neural networksComputer-aided civil and infrastructure engineering. 13(2):75-81
Publisher Information:
Malden, MA: Blackwell, 1998.
Publication Year:
1998
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Civil engineering, Génie civil, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Généralités, General, Sociologie. Ergonomie. Exigence des usagers, Sociology. Ergonomy. User requirements, Calcul des constructions. Sollicitations, Structural analysis. Stresses, Méthodes de calcul. Tables. Abaques, Computation methods. Tables. Charts, Assistance ordinateur, Computer aid, Asistencia ordenador, Dégât, Damage, Estrago, Evaluation, Evaluación, Industrie construction, Construction industry, Industria construcción, Justice, Justicia, Litige, Litigation, Maître d'œuvre, Prime contractor, Maestro de obras, Maître ouvrage, Building owner, Financista edificio, Modèle prévision, Forecast model, Modelo previsión, Méthodologie, Methodology, Metodología, Réseau neuronal, Neural network, Red neuronal
Subject Geographic:
Amérique du Nord, North America, America del norte, Amérique, America, Etats Unis, United States, Estados Unidos, Illinois, Ilinois
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Civil and Architectural Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States
ISSN:
1093-9687
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=2285316
Rights:
Copyright 1998 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering

Sociology
Accession Number:
edscal.2285316
Database:
PASCAL Archive

Weitere Informationen

In this study, neural networks were used to predict the outcome of construction litigation. Disagreements between the owner and the contractor can arise from such considerations as interpretation of the contract, changes made by the owner, differing site conditions, acceleration and suspension of work, and so forth. When there are disagreements between the contractor and the owner, the result is the inefficient use of resources and higher costs for both the owner and the contractor as well as damage to the reputation of both sides. Neural networks may help to predict the outcome of construction claims that are normally affected by a large number of complex and interrelated factors. Data composed of characteristics of cases and circuit and appellate court decisions were extracted from cases filed in Illinois appellate courts in the last 12 years. A network was trained using these data, and a rate of prediction of 67% was obtained. If the parties to a dispute know with some certainty how the case would be resolved if it were taken to court, it is believed that the number of disputes could be reduced greatly.