A framework of opinion dynamics using fuzzy linguistic 2-tuples

[1]  Shui Yu,et al.  Linguistic Computational Model Based on 2-Tuples and Intervals , 2013, IEEE Transactions on Fuzzy Systems.

[2]  Enrique Herrera-Viedma,et al.  On dynamic consensus processes in group decision making problems , 2018, Inf. Sci..

[3]  Su-min Yu,et al.  Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity , 2021, Knowl. Based Syst..

[4]  Alan M. Frieze,et al.  Random graphs , 2006, SODA '06.

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

[6]  Tao Wu,et al.  Evolution prediction of multi-scale information diffusion dynamics , 2016, Knowl. Based Syst..

[7]  Yifan Wang,et al.  Investigation in the influences of public opinion indicators on vegetable prices by corpora construction and WeChat article analysis , 2020, Future Gener. Comput. Syst..

[8]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[9]  Francisco Herrera,et al.  Aggregation operators for linguistic weighted information , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[10]  Luis Martínez-López,et al.  Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching , 2017, Inf. Fusion.

[11]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[12]  Zhang-peng Tian,et al.  A two-fold feedback mechanism to support consensus-reaching in social network group decision-making , 2018, Knowl. Based Syst..

[13]  Michael J. North,et al.  Tutorial on Agent-Based Modeling and Simulation PART 2: How to Model with Agents , 2006, Proceedings of the 2006 Winter Simulation Conference.

[14]  Peng Song,et al.  An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment , 2017, Appl. Soft Comput..

[15]  Otto Koppius,et al.  The Radiation-Transmission-Reception (RTR) model of propagation: Implications for the effectiveness of network interventions , 2018, PloS one.

[16]  Sinan Aral,et al.  Identifying Influential and Susceptible Members of Social Networks , 2012, Science.

[17]  Haoxiang Xia,et al.  Opinion Dynamics: A Multidisciplinary Review and Perspective on Future Research , 2011, Int. J. Knowl. Syst. Sci..

[18]  Enrique Herrera-Viedma,et al.  Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach , 2001, J. Assoc. Inf. Sci. Technol..

[19]  José L. Verdegay,et al.  On aggregation operations of linguistic labels , 1993, Int. J. Intell. Syst..

[20]  Gang Kou,et al.  Consensus reaching in social network group decision making: Research paradigms and challenges , 2018, Knowl. Based Syst..

[21]  Enrique Herrera-Viedma,et al.  An Information Retrieval Model with Ordinal Linguistic Weighted Queries Based on Two Weighting Elements , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[22]  Francisco Herrera,et al.  Computing with words in decision making: foundations, trends and prospects , 2009, Fuzzy Optim. Decis. Mak..

[23]  Yin-Feng Xu,et al.  Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model , 2009, IEEE Transactions on Fuzzy Systems.

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

[25]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[26]  Sandeep Kumar,et al.  Predicting information diffusion probabilities in social networks: A Bayesian networks based approach , 2017, Knowl. Based Syst..

[27]  Yucheng Dong,et al.  Dynamics of linguistic opinion formation in bounded confidence model , 2016, Inf. Fusion.

[28]  G. Pasi,et al.  A Fuzzy Linguistic Approach Generalizing Boolean Information Retrieval: a Model and its Evaluation , 1993 .

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

[30]  Yejun Xu,et al.  A dynamically weight adjustment in the consensus reaching process for group decision-making with hesitant fuzzy preference relations , 2017, Int. J. Syst. Sci..

[31]  Oscar Cordón,et al.  Multimodal optimization: An effective framework for model calibration , 2017, Inf. Sci..

[32]  Oscar Cordón,et al.  An agent-based model for understanding the influence of the 11-M terrorist attacks on the 2004 Spanish elections , 2017, Knowl. Based Syst..

[33]  Jianliang Wei,et al.  How opinion distortion appears in super-influencer dominated social network , 2021, Future Gener. Comput. Syst..

[34]  Francisco Herrera,et al.  The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[35]  D. Foley,et al.  The economy needs agent-based modelling , 2009, Nature.

[36]  Ronald R. Yager,et al.  On the retranslation process in Zadeh's paradigm of computing with words , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[37]  Francisco Herrera,et al.  An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges , 2012, Inf. Sci..

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

[39]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[40]  Oscar Cordón,et al.  A multicriteria integral framework for agent-based model calibration using evolutionary multiobjective optimization and network-based visualization , 2019, Decis. Support Syst..

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

[42]  Francisco Herrera,et al.  The 2-tuple Linguistic Model , 2015, Springer International Publishing.

[43]  William Rand,et al.  Building Agent-Based Decision Support Systems for Word-of-Mouth Programs: A Freemium Application , 2016 .

[44]  Enrique Herrera-Viedma,et al.  Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis , 2019, Knowl. Based Syst..

[45]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[46]  Giorgio Fagiolo,et al.  Validation of Agent-Based Models in Economics and Finance , 2019, Simulation Foundations, Methods and Applications.

[47]  Francisco Herrera,et al.  A fusion approach for managing multi-granularity linguistic term sets in decision making , 2000, Fuzzy Sets Syst..

[48]  M. A. Quaddus,et al.  Adoption and diffusion of knowledge management systems: field studies of factors and variables , 2005, Knowl. Based Syst..

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

[50]  Yucheng Dong,et al.  Numerical Interval Opinion Dynamics in Social Networks: Stable State and Consensus , 2019, IEEE Transactions on Fuzzy Systems.

[51]  Francisco Herrera,et al.  Modeling agent‐based consumers decision‐making with 2‐tuple fuzzy linguistic perceptions , 2019, Int. J. Intell. Syst..

[52]  William Rand,et al.  When does simulated data match real data? , 2011, WCSS.

[53]  R. Yager.  Concepts, Theory, and Techniques A NEW METHODOLOGY FOR ORDINAL MULTIOBJECTIVE DECISIONS BASED ON FUZZY SETS , 1981 .

[54]  Lotfi A. Zadeh,et al.  Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..

[55]  Yucheng Dong,et al.  Linguistic Opinions Dynamics based on Personalized Individual Semantics , 2020 .