Dynamic Expert Reliability Based Feedback Mechanism in Consensus Reaching Process with Distributed Preference Relations

Min Xue (), Chao Fu () and Shan-Lin Yang ()
Additional contact information
Min Xue: Hefei University of Technology, Hefei
Chao Fu: Hefei University of Technology, Hefei
Shan-Lin Yang: Hefei University of Technology, Hefei

Group Decision and Negotiation, 2021, vol. 30, issue 2, No 5, 375 pages

Abstract: Abstract A group consensus reaching process (CRP) based on dynamic expert reliability is proposed in this paper. The method is designed to support uncertain multi-attribute group decision making in situations where experts in a group use distributed preference relations (DPRs) to express their preferences when making a decision. In the method, it is assumed that a predefined consensus requirement can be specified and must be satisfied before consensus-based solutions are generated. Consensus measures of DPRs are constructed to ensure consensus convergence and used to check whether the predefined consensus requirement at a specific level is satisfied. If the requirement is not satisfied, expert reliability is first defined and calculated in terms of data depicted by the experts, and then used to design an expert reliability based feedback mechanism composed of identification and suggestion rules to help identify the DPRs hindering CRP. Additionally, experts update their DPRs to accelerate convergence to CRP. Arguably, it is the first attempt to introduce expert reliability in consensus convergence. Once the predefined consensus requirement is satisfied, experts’ preferences are aggregated to generate a consensus-based solution. The problem of selecting an appropriate supplier in a high-end equipment manufacturing enterprise located in Changzhou, Jiangsu Province, China is analyzed by the proposed method to demonstrate its applicability and validity.

Keywords: Multiple attribute group decision making; Dynamic expert reliability; Feedback mechanism; Distributed preference relation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10726-020-09660-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:grdene:v:30:y:2021:i:2:d:10.1007_s10726-020-09660-8

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10726/PS2

DOI: 10.1007/s10726-020-09660-8

Access Statistics for this article

Group Decision and Negotiation is currently edited by Gregory E. Kersten

More articles in Group Decision and Negotiation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().