A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations

By Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana, Francisco Herrera. IEEE transactions on fuzzy systems, 2007

683 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/22645330a124eb4b7fb78417a05a91f09946b5df

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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.”
A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations (2014, methodology): “[25] investigated methodologies to develop feedback mechanisms to produce recommendations on how to increase consensus level.”
The Induced Generalized OWA Operator (2009, background): “Since its appearance, the OWA operator has been used in a wide range of applications [1-8,11-40].”
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context (2009, background): “Several authors [7], [31], [35], [44] have proposed different models to carry out consensus processes where the human moderator’s role is assumed by the own model.”
A review of soft consensus models in a fuzzy environment (2014, methodology): “The automatic consensus models existing in the literature act in a similar way during all consensus rounds although the conditions of GDM problem change [30,48,50,56].”
A web based consensus support system for group decision making problems and incomplete preferences (2010, methodology): “For example, in [14] a consensus driven model is used in the selection of advanced technology field; in [22] some consensus reaching ideas are included as part of a decision support system for water resource management; while in [29] the authors developed a consensus model for GDM and incomplete inf”
Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “The objective in multiple attribute group decision making (MAGDM) problems is to find the most desirable alternative(s) among a set of feasible alternatives, based on the preferences provided by a group of experts [21].”
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]”
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity (2009, background): “By doing this, the estimated values are assured to be ‘compatible’ with the res t of the information provided by that expert [29]–[31].”
Consensus models for AHP group decision making under row geometric mean prioritization method (2010, methodology): “This has led to the use of the consistency measure, which also is called “soft” consensus degree in [27,29,30].”
New decision-making techniques and their application in the selection of financial products (2010, background): “Note that we may find in the literature a wide range of other decision-making methods, such as [4,15–17,32,38,39,41–43,52,56].”
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks (2010, methodology): “– In [21], a soft consensus model based on three consensus measures was also proposed.”
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information (2010, methodology): “To solve GDM problems with this kind of preference relations, firstly, it is necessary to deal with the missing values [4, 29, 30, 38, 39].”
A visual interaction consensus model for social network group decision making with trust propagation (2017, methodology): “However, these known group interaction consensus models do not take into account the trust relationship among the experts in the group [14, 20, 44], which makes them not suitable for GDM problems in a social network framework where the relationships between the members of a group is present and shou”