Applied Mathematics and Computation
Group decision support with the analytic hierarchy process
Decision Support Systems
A Monte Carlo study of pairwise comparison
Information Processing Letters
Computers and Operations Research
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Computers and Operations Research
An optimization method for integrating two kinds of preference information in group decision-making
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
Multi-criteria group consensus under linear cost opinion elasticity
Decision Support Systems
Modifying inconsistent comparison matrix in analytic hierarchy process: A heuristic approach
Decision Support Systems
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
An automatic approach to reaching consensus in multiple attribute group decision making
Computers and Industrial Engineering
Minimum cost consensus with quadratic cost functions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP
Decision Support Systems
Fuzzy ordered distance measures
Fuzzy Optimization and Decision Making
The optimal group consensus deviation measure for multiplicative preference relations
Expert Systems with Applications: An International Journal
Interval-valued hesitant preference relations and their applications to group decision making
Knowledge-Based Systems
The optimal group consensus models for 2-tuple linguistic preference relations
Knowledge-Based Systems
Synthesis of individual best local priority vectors in AHP-group decision making
Applied Soft Computing
Maximum expert consensus models with linear cost function and aggregation operators
Computers and Industrial Engineering
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
A granulation of linguistic information in AHP decision-making problems
Information Fusion
Revisiting the supplier selection problem: An integrated approach for group decision support
Expert Systems with Applications: An International Journal
Building granular fuzzy decision support systems
Knowledge-Based Systems
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The consistency measure is a vital basis for consensus models of group decision making using preference relations, and includes two subproblems: individual consistency measure and consensus measure. In the analytic hierarchy process (AHP), the decision makers express their preferences using judgement matrices (i.e., multiplicative preference relations). Also, the geometric consistency index is suggested to measure the individual consistency of judgement matrices, when using row geometric mean prioritization method (RGMM), one of the most extended AHP prioritization procedures. This paper further defines the consensus indexes to measure consensus degree among judgement matrices (or decision makers) for the AHP group decision making using RGMM. By using Chiclana et al.'s consensus framework, and by extending Xu and Wei's individual consistency improving method, we present two AHP consensus models under RGMM. Simulation experiments show that the proposed two consensus models can improve the consensus indexes of judgement matrices to help AHP decision makers reach consensus. Moreover, our proposal has two desired features: (1) in reaching consensus, the adjusted judgement matrix has a better individual consistency index (i.e., geometric consistency index) than the corresponding original judgement matrix; (2) this proposal satisfies the Pareto principle of social choice theory.