Additive Consistency and Group Decision-Making Consensus Analysis of Hesitant-Intuitionistic Fuzzy Preference Relations

Xue Feng, Sheng Ling Geng and Yong Ming Li

Journal of Mathematics, 2025, vol. 2025, 1-20

Abstract: The paper addresses the group decision-making (GDM) problem involving hesitant-intuitionistic fuzzy preference relations (HIFPRs), focusing on additive consistency and group consensus analysis. Firstly, to preserve the original decision information effectively, the consistency improvement algorithm is designed to identify decision information requiring modification and subsequently execute a localized adjustment process. Secondly, an algorithm is developed to derive HIFPRs that satisfy both acceptable consistency and group consensus simultaneously. Additionally, an approach for calculating decision-maker weights is proposed. Finally, to address GDM challenges within hesitant-intuitionistic fuzzy scenarios, a novel decision method is presented. The validity of the proposed GDM approach is demonstrated through a case study involving the selection of outstanding students for exchange learning. Comparative analysis illustrates the method’s rationale and advantages.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/jmath/2025/5426992.pdf (application/pdf)
http://downloads.hindawi.com/journals/jmath/2025/5426992.xml (application/xml)

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:hin:jjmath:5426992

DOI: 10.1155/jom/5426992

Access Statistics for this article

More articles in Journal of Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().