A consensus model for multiperson decision making with different preference structures

By Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana. IEEE Trans. Syst. Man Cybern. Part A, 2002

781 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7b4d7749ccedf7f1dc4a25d002bdc81c1b8efb1f

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Citations in the corpus

Multi-criteria group consensus under linear cost opinion elasticity (2007, background): “Another model for consensus compares the positions of the alternatives founded on the individual solutions and the group solution [6].”
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations (2007, methodology): “…P 2, P 3 and P 4 are: CP 1 = − 0.2 0.6 0.4 0.8 − 0.9 0.7 0.4 0.1 − 0.3 0.6 0.3 0.7 − CP 2 = − 0.63 0.72 0.77 0.4 − 0.6 0.67 0.3 0.42 − 0.58 0.25 0.35 0.45 − CP 3 = − 0.45 0.51 0.7 0.6 − 0.62 0.89 0.48 0.41 − 0.64 0.33 0.1 0.42 − CP 4 = − 0.6 0.5 0.35 0.4 − 0.45 0.2 0.5 0.55 − 0.3 0.65 0.8…”
CHALLENGES FOR IMPROVING CONSENSUS REACHING PROCESS IN COLLECTIVE DECISIONS (2007, background): “In the literature we can find many different consensus reaching processes [11,27,29,53,65].”
Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors (2016, methodology): “[28] discussed the transformation functions among different preference representation formats.”
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks (2010, methodology): “– In [19] was defined the first consensus model based on the measuring the coincidence degree between individual solutions and collective solution.”
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].”
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context (2009, methodology): “With this proposal, we overcome the convergence problems detected in other consensus approaches existing in the literature [3], [7], [26], [33], [35], [44].”
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 Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations (2005, methodology): “In GDM problems there, are two processes to carry out before obtaining a final solution [9], [12], [17], [23]: the consensus process and the selection process (see Fig.”
Knowledge-based Systems (2009, neutral): “Finally, we plan to explore further connections with the literature on multi-expert decision-making (e.g., [49,50]).”