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Challenges for improving consensus reaching process in collective decisions

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Publication Date
2007
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World Scientific Publishing Company
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The majority rule is frequently presented as a cornerstone of any democratic society, guiding many group decision-making processes where final decision requires the agreement of more than half the people involved. But sometimes, some key decisions require a higher level of agreement. In such cases, an added value would be to reach some consensus about the decision-making problem. Decision making under consensus drives to decisions which are better accepted and appreciated. But it also implies a greater complexity and time consuming process to reach a final decision, and it may even lead to a deadlock or unsuccessful results, whenever the searched agreement is not achieved. Meanwhile, these problems arise because the requirements to achieve the consensus are too strong, and different processes have softened their requirements. In particular, soft consensus is one of the most widespread consensus reaching processes that uses fuzzy logic to soften the consensus requirements. However, several problems still persist despite the softening of the requirements. In this paper, we are going to make a brief revision of the different concepts about consensus and about different consensus reaching processes, both in the crisp and fuzzy environment. We shall then analyze how to overcome their lacks, indicating the challenges facing these processes in order to obtain successful results in those group decision problems in which they are required to make a decision under consensus.
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Francisco J. Quesada, Iván Palomares, Luis Martínez. (2015) Managing Experts Behavior in Large-Scale Consensus ReachingProcesses with Uninorm Aggregation Operators. Applied Soft Computing. . Online publication date: 1-Mar-2015. Zhen Zhang, Chonghui Guo. (2015) Consistency and consensus models for group decision-making with uncertain 2-tuple linguistic preference relations. International Journal of Systems Science, 1-16. . Online publication date: 13-Jan-2015. Feng Zhang, Joshua Ignatius, Chee Peng Lim, Mark Goh. (2014) A two-stage dynamic group decision making method for processing ordinal information. Knowledge-Based Systems. . Online publication date: 1-Jul-2014. Iván Palomares, Francisco J. Estrella, Luis Martínez, Francisco Herrera. (2014) Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion. . Online publication date: 1-Mar-2014. Iván Palomares, Luis Martínez, Francisco Herrera. (2014) MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making. Knowledge-Based Systems 58, 66-74. . Online publication date: 1-Mar-2014. Iván Palomares, Luis Martínez. (2014) Low-dimensional Visualization of Experts’ Preferences in Urgent Group Decision Making under Uncertainty1. Procedia Computer Science 29, 2090-2101. . Online publication date: 1-Jan-2014. Iván Palomares, Rosa M. Rodríguez, Luis Martínez. (2013) An attitude-driven web consensus support system for heterogeneous group decision making. Expert Systems with Applications 40, 139-149. . Online publication date: 1-Jan-2013. R. Parreiras, P. Ekel, F. Bernardes. (2012) A dynamic consensus scheme based on a nonreciprocal fuzzy preference relation modeling. Information Sciences 211, 1-17. . Online publication date: 1-Nov-2012. I. Palomares, J. Liu, Y. Xu, L. Martínez. (2012) Modelling experts’ attitudes in group decision making. Soft Computing 16, 1755-1766. . Online publication date: 1-Oct-2012. Llorenç Roselló, Mónica Sánchez, Núria Agell, Francesc Prats, Ferran A. Mazaira. (2011) Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making. Information Fusion. . Online publication date: 1-Sep-2011. Llorenç Roselló, Francesc Prats, Núria Agell, Mónica Sánchez. (2010) Measuring consensus in group decisions by means of qualitative reasoning. International Journal of Approximate Reasoning 51, 441-452. . Online publication date: 1-Mar-2010.
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