XY Zhang, JQ Wang - Journal of Intelligent & Fuzzy Systems, 2017 - content.iospress.com
This article puts forward a consensus framework for multi-criteria group decision-making (MCGDM) with multi-granular uncertain linguistic information, where different decision …
L Zhang, T Li, X Xu - Knowledge-Based Systems, 2014 - Elsevier
Group decision making with consensus requirement is the process of reaching group consensus, ranking the feasible alternatives and selecting the best one. In this paper, we …
G Xu, S Wan, F Wang, J Dong, Y Zeng - Knowledge-Based Systems, 2016 - Elsevier
In group decision making (GDM) with intuitionistic fuzzy preference relations (IFPRs), the consistency and consensus are two key issues. This paper develops a novel method for …
J Chu, X Liu, Y Wang, KS Chin - Computers & Industrial Engineering, 2016 - Elsevier
Group decision making with intuitionistic fuzzy preference information involves three steps: the consistency checking process, the consensus checking process and the selection …
XY Lu, JY Dong, SP Wan, Y Yuan - Expert Systems with Applications, 2023 - Elsevier
Intuitionistic multiplicative preference relation (IMPR) is an efficient tool for describing the paired comparisons between objectives in group decision making (GDM). Existing GDM …
H Chen, G Xu - Computers & Industrial Engineering, 2019 - Elsevier
Due to complex circumstance, decision makers may have difficulty in offering complete intuitionistic fuzzy preference relations (IFPRs) in the decision making process, so that it will …
J Wu, Y Liu, C Liang - International Transactions in Operational …, 2015 - Wiley Online Library
In this study, an interactive consensus model is proposed for correlated multiple attribute group decision making (MAGDM) problems with intuitionistic triangular fuzzy numbers …
F Shen, J Xu, Z Xu - Information Sciences, 2016 - Elsevier
In real world multi-criteria group decision making (MCGDM) problems, the decision making information provided by the decision makers is often imprecise or uncertain because of a …