EconPapers    
Economics at your fingertips  
 

Research on rating behaviors of bidding evaluation experts in construction projects based on novel integrated methods about reliability and decision entropy

Xiaoping Bai () and Meng Jia
Additional contact information
Xiaoping Bai: Xi’an University of Architecture and Technology
Meng Jia: Xi’an University of Architecture and Technology

Palgrave Communications, 2025, vol. 12, issue 1, 1-10

Abstract: Abstract In recent years, with the rapid development of information technology and the demand for prevention and control of COVID-19, electronic bidding has become very popular, and remote construction project bid evaluation has been widely used. In practice, it is easy to detect and give early warning for propensity abnormal scores with large deviation values. Still, it is impossible to make timely judgments for non-pendency abnormal scores, so its reliability needs to be analyzed. This paper studied the rating behaviors of bidding evaluation experts in construction projects, and proposed novel integrated methods about reliability and decision entropy. Firstly the paper used the power method in numerical algebra to obtain the score closest to the real score of the project and then calculated the decision entropy of the individual expert, and the calculated entropy value corresponds to the reliability of the decision. Finally, the paper determined the warning threshold through instance analysis to monitor the reliability of evaluation expert scoring behaviors. The detailed methods and steps proposed in this paper are helpful in improving the management level of construction project bid evaluation.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-025-05339-0 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05339-0

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-025-05339-0

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-07-03
Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05339-0