Selection strategy of uniform expert evaluation scale in group decision making
Meng Zhao,
Yajun Wang,
Xinyu Meng and
Xunjie Gou
Journal of the Operational Research Society, 2024, vol. 75, issue 6, 1178-1192
Abstract:
The scoring habits of experts are embodied in expert evaluation scale (EES). We show that many inaccurate consensus and ranking results can occur in group decision making (GDM) problems without considering EES. To remove the impacts of EESs, we propose the definition of EES and the uniform EES (UEES) strategy. Then, we prove the influence of the selection of UEES strategy on two consistency measures and two aggregation operators. In real-world GDM problems, a decision maker (DM) usually hopes that the final scores of alternatives are subject to his/her desired distribution. Therefore, a novel ranking method by UEES strategy is proposed to obtain DM’s desired final scores. Finally, a numerical example is used to clarify the effectiveness of the proposed method, and a simulation experiment shows that the proposed method is more suitable for large sample cases but the accuracy is still at a high level under small sample cases.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2023.2237993 (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:taf:tjorxx:v:75:y:2024:i:6:p:1178-1192
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2023.2237993
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().