Two-layered fuzzy logic-based model for predicting court decisions in construction contract disputes-Reference-Cited by-同舟云学术

Two-layered fuzzy logic-based model for predicting court decisions in construction contract disputes

Published:2021-01-26 Issue:4 Volume:29 Page:453-484
ISSN:0924-8463
Container-title:Artificial Intelligence and Law
language:en
Short-container-title:Artif Intell Law

Author:

Bagherian-Marandi Navid,Ravanshadnia Mehdi,Akbarzadeh-T Mohammad-R.

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10506-021-09281-9.pdf

Reference38 articles.

1. Arditi D, Oksay FE, Tokdemir OB (1998) Predicting the outcome of construction litigation using neural networks. Comput Aided Civ Infrastruct Eng 13(2):75–81

2. Arditi D, Pulket T (2005) Predicting the outcome of construction litigation using boosted decision trees. J Comput Civ Eng 19(4):387–393

3. Arditi D, Pulket T (2010) Predicting the outcome of construction litigation using an integrated artificial intelligence model. J Comput Civ Eng 24(1):73–80

4. Arditi D, Tokdemir OB (1999) Comparison of case-based reasoning and artificial neural networks. J Comput Civ Eng 13(3):162–169

5. Besold TR, Kühnberger K-U (2015) Towards integrated neural–symbolic systems for human-level AI: two research programs helping to bridge the gaps. Biol Inspired Cogn Archit 14:97–110

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting the outcomes of construction contract disputes using machine learning techniques;Engineering, Construction and Architectural Management;2024-09-10

2. Industry 4.0 and Construction Contract Management: A Bibliometric Survey;Journal of Legal Affairs and Dispute Resolution in Engineering and Construction;2024-08

3. Development of an Integrated Hybrid Risk Assessment System for Construction Disputes during the Preconstruction Phase Using the Delphi Method;Journal of Construction Engineering and Management;2024-07

4. Digital Technologies for Preventing, Mitigating, and Resolving Contractual Disagreements in the AEC Industry: A Systematic Literature Review;Journal of Construction Engineering and Management;2024-06

5. Prediction of Flexural Strength with Fuzzy Logic Approach for Fused Deposition Modeling of Polyethylene Terephthalate Glycol Components;Journal of Materials Engineering and Performance;2024-02-29