Consensus Reaching With Time Constraints and Minimum Adjustments in Group With Bounded Confidence Effects

In the bounded confidence model, it is widely known that individuals rely on the opinions of their close friends or people with similar interests. Meanwhile, the decision maker always hopes that the opinions of individuals can reach a consensus in a required time. Therefore, with this idea in mind, this article develops a consensus reaching model with time constraints and minimum adjustments in a group with bounded confidence effects. In the proposed consensus approach, the minimum adjustments rule is used to modify the initial opinions of individuals with bounded confidence, which can further influence the opinion evolutions of individuals to reach a consensus in a required time. The properties of the model are studied, and detailed numerical examples and comparative simulation analysis are provided to justify its feasibility.

[1]  Francisco Herrera,et al.  Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study , 2014, Inf. Fusion.

[2]  L. Susskind,et al.  The consensus building handbook : a comprehensive guide to reaching agreement , 1999 .

[3]  Guillaume Deffuant,et al.  Mixing beliefs among interacting agents , 2000, Adv. Complex Syst..

[4]  Yejun Xu,et al.  A two-stage consensus method for large-scale multi-attribute group decision making with an application to earthquake shelter selection , 2018, Comput. Ind. Eng..

[5]  Gang Kou,et al.  A survey on the fusion process in opinion dynamics , 2018, Inf. Fusion.

[6]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[7]  Francisco Herrera,et al.  Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree , 2019, Inf. Sci..

[8]  S. Redner,et al.  Voter model on heterogeneous graphs. , 2004, Physical review letters.

[9]  Yanfang Zhou,et al.  Modeling the minimum cost consensus problem in an asymmetric costs context , 2018, Eur. J. Oper. Res..

[10]  Yejun Xu,et al.  Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making , 2019, IEEE Transactions on Fuzzy Systems.

[11]  David Ben-Arieh,et al.  Minimum Cost Consensus With Quadratic Cost Functions , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[12]  Xin Zhou,et al.  A hybrid group decision making framework for achieving agreed solutions based on stable opinions , 2019, Inf. Sci..

[13]  Zhibin Wu,et al.  Local feedback strategy for consensus building with probability-hesitant fuzzy preference relations , 2017, Appl. Soft Comput..

[14]  G. Weisbuch,et al.  Modelling Group Opinion Shift to Extreme : the Smooth Bounded Confidence Model , 2004, cond-mat/0410199.

[15]  Francisco Herrera,et al.  A web based consensus support system for group decision making problems and incomplete preferences , 2010, Inf. Sci..

[16]  M. Degroot Reaching a Consensus , 1974 .

[17]  Serge Galam,et al.  Real space renormalization group and totalitarian paradox of majority rule voting , 2000 .

[18]  R. Holley,et al.  Ergodic Theorems for Weakly Interacting Infinite Systems and the Voter Model , 1975 .

[19]  Dilip Sarkar,et al.  Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence , 2016, IEEE Transactions on Signal and Information Processing over Networks.

[20]  Enrique Herrera-Viedma,et al.  A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust , 2018, Inf. Fusion.

[21]  Gang Kou,et al.  A review on trust propagation and opinion dynamics in social networks and group decision making frameworks , 2019, Inf. Sci..

[22]  Enrique Herrera-Viedma,et al.  Multiple Attribute Strategic Weight Manipulation With Minimum Cost in a Group Decision Making Context With Interval Attribute Weights Information , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[23]  Jiuping Xu,et al.  Integer Programming Models to Manage Consensus for Uncertain MCGDM Based on PSO Algorithms , 2019, IEEE Transactions on Fuzzy Systems.

[24]  Katarzyna Sznajd-Weron,et al.  Opinion evolution in closed community , 2000, cond-mat/0101130.

[25]  Yin-Feng Xu,et al.  The OWA-based consensus operator under linguistic representation models using position indexes , 2010, Eur. J. Oper. Res..

[26]  Andre C. R. Martins,et al.  CONTINUOUS OPINIONS AND DISCRETE ACTIONS IN OPINION DYNAMICS PROBLEMS , 2007, 0711.1199.

[27]  Witold Pedrycz,et al.  A review of soft consensus models in a fuzzy environment , 2014, Inf. Fusion.

[28]  Enrique Herrera-Viedma,et al.  A linguistic consensus model for Web 2.0 communities , 2013, Appl. Soft Comput..

[29]  Xiaohong Chen,et al.  Confidence consensus-based model for large-scale group decision making: A novel approach to managing non-cooperative behaviors , 2019, Inf. Sci..

[30]  Enrique Herrera-Viedma,et al.  Group Decision Making with Heterogeneous Preference Structures: An Automatic Mechanism to Support Consensus Reaching , 2019, Group Decision and Negotiation.

[31]  Chin-Teng Lin,et al.  A New Method for Intuitionistic Fuzzy Multiattribute Decision Making , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[32]  David Ben-Arieh,et al.  Multi-criteria group consensus under linear cost opinion elasticity , 2007, Decis. Support Syst..

[33]  Rainer Hegselmann,et al.  Opinion dynamics and bounded confidence: models, analysis and simulation , 2002, J. Artif. Soc. Soc. Simul..

[34]  Debjani Chakraborty,et al.  Fuzzy multi attribute group decision making method to achieve consensus under the consideration of degrees of confidence of experts' opinions , 2011, Comput. Ind. Eng..

[35]  S. Galam Minority opinion spreading in random geometry , 2002, cond-mat/0203553.

[36]  Christoph Niemann,et al.  Optimal Opinion Control: The Campaign Problem , 2014, J. Artif. Soc. Soc. Simul..

[37]  Shui Yu,et al.  Managing consensus and self-confidence in multiplicative preference relations in group decision making , 2018, Knowl. Based Syst..

[38]  Jeffrey Forrest,et al.  Two consensus models based on the minimum cost and maximum return regarding either all individuals or one individual , 2015, Eur. J. Oper. Res..

[39]  A. Pluchino,et al.  CHANGING OPINIONS IN A CHANGING WORLD: A NEW PERSPECTIVE IN SOCIOPHYSICS , 2004 .