Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts' trust relations and preference risks

Abstract Consensus-based large-group emergency decision-making (LGEDM) is a dynamic and iterative process, in which some experts may show non-cooperative behaviors because they have different knowledge backgrounds and represent different stakeholders. Non-cooperative behaviors greatly affect the efficiency and results of decision-making. Time is of the essence in an emergency situation, and thus rational treatment of non-cooperative behaviors is required. In addition, in traditional group decision-making (GDM), the decision model is based on the premise that decision makers are independent. However, with the development of online social networks, the objective trust relationships between experts should be considered. Hence, this paper proposes a consensus model that considers the experts’ trust relations based on social network analysis and preference risks based on interval-valued intuitionistic fuzzy numbers. The trust risk, preference risk, and an approach for analyzing and managing non-cooperative behaviors are proposed. An illustrative example and a comparison are provided to verify the feasibility and effectiveness of the proposed method.

[1]  Zeshui Xu,et al.  Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans , 2018, International journal of environmental research and public health.

[2]  Shui Yu,et al.  Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design , 2019, Eur. J. Oper. Res..

[3]  John Cosgrave,et al.  Decision making in emergencies , 1996 .

[4]  Ming Tang,et al.  Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making , 2019, Knowl. Based Syst..

[5]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[6]  Xiuwu Liao,et al.  A social ties-based approach for group decision-making problems with incomplete additive preference relations , 2017, Knowl. Based Syst..

[7]  Enrique Herrera-Viedma,et al.  Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions , 2018, IEEE Transactions on Fuzzy Systems.

[8]  Jing Xiao,et al.  Linguistic Distribution-Based Optimization Approach for Large-Scale GDM With Comparative Linguistic Information: An Application on the Selection of Wastewater Disinfection Technology , 2020, IEEE Transactions on Fuzzy Systems.

[9]  Xiaohong Chen,et al.  A multi-attribute large group emergency decision making method based on group preference consistency of generalized interval-valued trapezoidal fuzzy numbers , 2015 .

[10]  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..

[11]  Gang Kou,et al.  Modelling influence in group decision making , 2016, Soft Computing.

[12]  Enrique Herrera-Viedma,et al.  A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Luis Martínez-López,et al.  Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators , 2015, Appl. Soft Comput..

[14]  Zhibin Wu,et al.  A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters , 2018, Inf. Fusion.

[15]  Enrique Herrera-Viedma,et al.  Consensus reaching model in the complex and dynamic MAGDM problem , 2016, Knowl. Based Syst..

[16]  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..

[17]  Zeshui Xu,et al.  Dependent uncertain ordered weighted aggregation operators , 2008, Inf. Fusion.

[18]  Xiaohong Chen,et al.  Large group emergency decision-making method with linguistic risk appetites based on criteria mining , 2019, Knowl. Based Syst..

[19]  Yucheng Dong,et al.  Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach , 2019, IEEE Transactions on Reliability.

[20]  Yejun Xu,et al.  Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors , 2019, Inf. Fusion.

[21]  Kun Zhang,et al.  A two-stage social trust network partition model for large-scale group decision-making problems , 2019, Knowl. Based Syst..

[22]  Huchang Liao,et al.  A prospect theory-based group decision approach considering consensus for portfolio selection with hesitant fuzzy information , 2019, Knowl. Based Syst..

[23]  E. Herrera‐Viedma,et al.  The consensus models with interval preference opinions and their economic interpretation , 2015 .

[24]  Xiao-hong Chen,et al.  A dynamical consensus method based on exit-delegation mechanism for large group emergency decision making , 2015, Knowl. Based Syst..

[25]  Zeshui Xu,et al.  A Dynamic Weight Determination Approach Based on the Intuitionistic Fuzzy Bayesian Network and Its Application to Emergency Decision Making , 2018, IEEE Transactions on Fuzzy Systems.

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

[27]  Enrique Herrera-Viedma,et al.  A Self-Management Mechanism for Noncooperative Behaviors in Large-Scale Group Consensus Reaching Processes , 2018, IEEE Transactions on Fuzzy Systems.

[28]  Alexander V. Lotov,et al.  A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration , 2009, Eur. J. Oper. Res..

[29]  Francisco Herrera,et al.  A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making , 2014, IEEE Transactions on Fuzzy Systems.

[30]  Luis Martínez-López,et al.  Analyzing the performance of classical consensus models in large scale group decision making: A comparative study , 2017, Appl. Soft Comput..

[31]  Qi Sun,et al.  An attitudinal consensus degree to control the feedback mechanism in group decision making with different adjustment cost , 2019, Knowl. Based Syst..

[32]  Dong Liang,et al.  A Risk Elimination Coordination Method for Large Group Decision-Making in Natural Disaster Emergencies , 2015 .

[33]  Zeshui Xu,et al.  Emergency decision making for natural disasters: An overview , 2018 .

[34]  Xinwang Liu,et al.  Social network analysis based approach to group decision making problem with fuzzy preference relations , 2016, J. Intell. Fuzzy Syst..

[35]  Francisco Herrera,et al.  Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation , 2019, Inf. Fusion.

[36]  Francisco Herrera,et al.  Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making , 2019, IEEE Transactions on Fuzzy Systems.

[37]  Xiaohong Chen,et al.  Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions , 2015, Decis. Support Syst..

[38]  Weiwei Wang,et al.  Managing non-cooperative behaviors in consensus-based multiple attribute group decision making: An approach based on social network analysis , 2018, Knowl. Based Syst..

[39]  Jinhong Xie,et al.  Group Buying: A New Mechanism for Selling Through Social Interactions , 2011, Manag. Sci..

[40]  Enrique Herrera-Viedma,et al.  A visual interaction consensus model for social network group decision making with trust propagation , 2017, Knowl. Based Syst..

[41]  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..

[42]  Francisco Chiclana,et al.  A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations , 2014, Knowl. Based Syst..

[43]  Francisco Chiclana,et al.  Social Network Decision Making with Linguistic Trustworthiness–Based Induced OWA Operators , 2014, Int. J. Intell. Syst..

[44]  Xinwang Liu,et al.  An interval type-2 fuzzy TOPSIS model for large scale group decision making problems with social network information , 2018, Inf. Sci..

[45]  Francisco Herrera,et al.  A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups , 2019, IEEE Transactions on Fuzzy Systems.

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