An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context

By Francisco Mata, Luis Martínez-López, Enrique Herrera-Viedma. IEEE transactions on fuzzy systems, 2009

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/51f94366ff2760a97864bd96dd7c23ff6455eb7e

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Citations in the corpus

A statistical comparative study of different similarity measures of consensus in group decision making (2013, methodology): “This consensus model has been widely investigated in [2, 13, 22, 25, 27, 28, 37] and it is represented in Figure 2.”
Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors (2016, background): “Usually, the consensus process is used to help experts improve the consensus level among the experts [1,9,34,52].”
Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions (2018, background): “Based on the use of a soft consensus measure, a large number of CRPs have been reported, and they can be mainly classified in to the following types: 1) CRPs under different preference representation structures [5], [8], [16], [27], [31], [37], [50], [54], [56]; 2) CRPs with minimum adjustments or c”
A review of soft consensus models in a fuzzy environment (2014, methodology): “Following this idea, an adaptive consensus model has been proposed by Mata et al. in [66].”
A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts (2014, background): “In the following subsections, both stages are described in detail.”
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks (2010, background): “In a classical group decision making (GDM) situation there is a problem to solve, a solution set of possible alternatives, X ¼f x1; ... ; xng; and a group of two or more experts, E ¼f e1; ... ; emg; characterized by their own ideas, attitudes, motivations and knowledge, who express their opinions ab”
Consensus reaching in social network group decision making: Research paradigms and challenges (2018, background): “[67] Linguistic preference relations Based on distances between experts IR and DR based consensus rule”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, neutral): “Consensus reaching processes [12,13] [48,49,53] [87,94]”