Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
A comparison of similarity measures of fuzzy values
Fuzzy Sets and Systems
A comparative study of similarity measures
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Fuzzy sets and decision analysis
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Choice processes for non-homogeneous group decision making in linguistic setting
Fuzzy Sets and Systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A note on the internal consistency of various preference representations
Fuzzy Sets and Systems - Special issue: Soft decision analysis
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
General transitivity conditions for fuzzy reciprocal preference matrices
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
International Journal of Intelligent Systems
IEEE Transactions on Fuzzy Systems
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Information Sciences: an International Journal
IEEE Transactions on Knowledge and Data Engineering
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Maximum expert consensus models with linear cost function and aggregation operators
Computers and Industrial Engineering
Recommendations of closed consensus temporal patterns by group decision making
Knowledge-Based Systems
A review of soft consensus models in a fuzzy environment
Information Fusion
Consensus measures constructed from aggregation functions and fuzzy implications
Knowledge-Based Systems
A method based on shape-similarity for detecting similar opinions in group decision-making
Information Sciences: an International Journal
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
Knowledge-Based Systems
Consensus on compact Riemannian manifolds
Information Sciences: an International Journal
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An essential aim in group decision making (GDM) problems is to achieve a high level of consensus among experts. Consensus is defined as general or widespread agreement, and it is usually modelled mathematically via a similarity function measuring how close experts' opinions or preferences are. Similarity functions are defined based on the use of a metric describing the distance between experts' opinions or preferences. In the literature, different metrics or distance functions have been proposed to implement in consensus models, but no study has been carried out to analyse the influence the use of different distance functions can have in the GDM process. This paper presents a comparative study of the effect of the application of some different distance functions for measuring consensus in GDM. By using the nonparametric Wilcoxon matched-pairs signed-ranks test, it is concluded that different distance functions can produce significantly different results. Moreover, it is also shown that their application also has a significant effect on the speed of achieving consensus. Finally, these results are analysed and used to derive decision support rules, based on a convergent criterion, that can be used to control the convergence speed of the consensus process using the compared distance functions.