Hassani H, Razavi-Far R, Saif M, et al. Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies [J]. Information Fusion. 2022;88:22–40.

Article  Google Scholar 

Tang G, Long J, Gu X, et al. Interval type-2 fuzzy programming method for risky multicriteria decision-making with heterogeneous relationship [J]. Information Science. 2022;584:184–211.

Article  Google Scholar 

Hua Z, Jing X, Martinez L. Consensus reaching for social network group decision making with ELICIT information: a perspective from the complex network [J]. Information Science. 2023;627:71–96.

Article  Google Scholar 

Liang H, Kou G, Dong Y, et al. Consensus reaching with minimum cost of informed individuals and time constraints in large-scale group decision-making [J]. IEEE Transactions on Fuzzy Systems. 2022;30(11):4991–5004.

Article  Google Scholar 

Herrera-Viedma E, Palomares I, Li C, et al. Revisiting fuzzy and linguistic decision making: scenarios and challenges for making wiser decisions in a better way [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021;51(1):191–208.

Article  Google Scholar 

Chao X, Kou G, Peng Y, et al. Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: an application in financial inclusion[J]. European Journal Operational Research. 2021;288(1):271–93.

Article  MathSciNet  Google Scholar 

Li S, Rodriguez MR, Wei C. Managing manipulative and non-cooperative behaviors in large scale group decision making based on a WeChat-like interaction network[J]. Information Fusion. 2021;75:1–15.

Article  Google Scholar 

Gao Y, Zhang Z. Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making[J]. Journal of the Operationa Research Society. 2022;73(11):2518–35.

Article  Google Scholar 

Meng F, Zhao D, Zhang X. A fair consensus adjustment mechanism for large-scale group decision making in term of Gini coefficient[J]. Engineering Application of Artificial Intelligence. 2023;126.

Article  Google Scholar 

Liang X, Guo J, Liu P. A large-scale group decision-making model with no consensus threshold based on social network analysis[J]. Information Science. 2022;612:361–83.

Article  Google Scholar 

Xiong K, Dong Y, Zha Q. A large-scale consensus model to manage non-cooperative behaviors in group decision making: A perspective based on historical data[J]. Expert Systems With Applications, 2023,214.

Yang G, Wang X, Ding R, et al. Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers[J]. Information Fusion, 2023,97.

Yan B, Wang Y, Xia W, et al. Novel consensus-reaching model in the social network environment for large-group emergency decision-making: an approach to managing non-cooperative behaviors[J]. Artificial Intelligence Review. 2023;56(8):8609–45.

Article  Google Scholar 

Román FJ, Colom R, Hillman CH, et al. Cognitive and neural architecture of decision making competence[J]. Neuroimage. 2019;199:172–83.

Article  Google Scholar 

Bandura A. Social cognitive theory: an agentic perspective[J]. Annual; Review of Psychology, 2001(1).

Tversky A, Kahneman D. The framing of decisions and the rationality of choice[J]. Science, 1980.

Parayitam S, Dooley RS. Is too much cognitive conflict in strategic decision-making teams too bad?[J]. International Journal Conflict Management. 2011;22(4):342–57.

Google Scholar 

Dewberry C, Juanchich M, Narendran S. Decision-making competence in everyday life: the roles of general cognitive styles, decision-making styles and personality[J]. Personality and Individual Differences. 2013;55(7):783–8.

Article  Google Scholar 

Busemeyer JR. Cognitive science contributions to decision science[J]. Cognition. 2015;135:43–6.

Article  Google Scholar 

Ward E V, Dhami M K. Editorial: The aging decision-maker: advances in understanding the impact of cognitive change on decision-making[J]. Frontiers in Psychology, 2016,7.

Wang GH, Li XL, Zhou JL, et al. The influence of entrepreneurial team’s cognitive adaptability on its risk decision making[J]. Industrial Management Data Systems. 2020;120(2):329–49.

Article  Google Scholar 

Skagerlund K, Forsblad M, Tinghog G, et al. Decision-making competence and cognitive abilities: which abilities matter?[J]. Journal of Behavioral Decision Making, 2022,35(1).

Beaudoin C, Beauchamp MH. Social cognition.[J]. Handbook of clinical neurology, 2020,173: 255–264.

Sallet J. On the evolutionary roots of human social cognition[J]. Neuroscience and Biobehavioral Reviews, 2022,137.

Cheng YH, Zhang X, Wang XJ, et al. Rethinking the development of technology-enhanced learning and the role of cognitive computing[J]. International Journal on Semantic and Information Systems. 2021;17(1):67–96.

Article  Google Scholar 

Wang Y. The application of computer-based multimedia technology in cognitive computing[J]. Computational Intelligence and Neuroscience, 2022,2022.

Greenwood JD. Social cognition, social neuroscience, and evolutionary social psychology: what’s missing?[J]. Journal Theory Social Behaviour. 2019;49(2):161–78.

Article  MathSciNet  Google Scholar 

Yuan Y, Wang C, Cheng D, et al. Minimum conflict consensus models for group decision-making based on social network analysis considering non-cooperative behaviors[J]. Information Fusion, 2023,99.

Zhang HJ, Palomares I, Dong YC, et al. Managing non-cooperative behaviors in consensus-based multiple attribute group decision making: an approach based on social network analysis[J]. Knowledge-Based Systems. 2018;162:29–45.

Article  Google Scholar 

Liu Y, Zhang X, Rodriguez RM, et al. Managing non-cooperative behaviors in consensus reaching processes: a comprehensive self-management weight generation mechanism[J]. Application Intelligence. 2024;54(3):2673–702.

Article  Google Scholar 

Xing Y, Wu J, Chiclana F, et al. A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making[J]. Information Fusion. 2023;93:363–82.

Article  Google Scholar 

Li Y, Kou G, Li G, et al. Consensus reaching process in large-scale group decision making based on bounded confidence and social network[J]. European Journal Operational Research. 2022;303(2):790–802.

Article  MathSciNet  Google Scholar 

Yuan Y. Cognitive and neural mechanisms of users’ contextualized attitude transformation in the illusion of privacy empowerment paradox[D]. Huaqiao University, 2023.

Wickland R, Brehm JW. Perspectives on cognitive dissonance[J]. Lawrence Erlbaum Associates, 1976.

Wei J, Jia Y, Zhu H, et al. Users’ opinion evolution in dynamic networks based on cognitive dissonance[J]. Journal of Modern Information. 2023;05(43):104–13.

Google Scholar 

Hinojosa AS. A review of cognitive dissonance theory in management research[J]. Journal Management. 2016;1(43):170–99.

Google Scholar 

McGrath A. Dealing with dissonance: a review of cognitive dissonance reduction[J]. Social Personality Psychology Compass. 2017;11(12):1–17.

Article  Google Scholar 

Simion CSS. Early interactions between orienting, visual sampling and decision making in facial preference[J]. Vision Research. 2006;20(46):3331–5.

Article  Google Scholar 

Harmon-Jones E, Gerdjikov T, Harmon-Jones C. The effect of induced compliance on relative left frontal cortical activity: a test of the action-based model of dissonance[J]. European Journal Social Psychology. 2010;1(8):35–45.

Google Scholar 

Atanassov KTRP. Intuitionistic fuzzy sets[J]. Fuzzy Sets Syst. 1986;20(1):87–96.

Article  MathSciNet  Google Scholar 

Xu Z. Intuitionistic fuzzy aggregation operators[J]. IEEE Transaction Fuzzy Systems. 2008;14(6):1179–87.

Google Scholar