A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network

2021 ◽  
Vol 67 ◽  
pp. 80-93
Author(s):  
Jian Wu ◽  
Zhiwei Zhao ◽  
Qi Sun ◽  
Hamido Fujita
2021 ◽  
Vol 72 ◽  
pp. 89-99
Author(s):  
Yi Liu ◽  
Haiming Liang ◽  
Lei Gao ◽  
Zhaoxia Guo

2021 ◽  
pp. 1-14
Author(s):  
Yicong Liu ◽  
Junfeng Chu ◽  
Yanyan Wang ◽  
Yingming Wang

To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e ´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.


Author(s):  
Jana Kvintova ◽  
Simona Dobesova Cakirpaloglu ◽  
Rene Szotkowski

Author(s):  
José Antonio Álvarez Bermejo ◽  
César Bernal Bravo ◽  
Manuel Jesús Rubia Mateos ◽  
Javier Roca Piera

Recent studies are focusing on how social networks impact the learning process and how students organize themselves to face collaborative tasks via these networks, as well as their impact on the learning outcomes of the students. In a number of these studies, learning social aspects are analyzed, showing, among other issues of interest, that participating in social networks positively affects students’ self-esteem. In this article it is shown how this applies to the university model being adopted in Europe. Nowadays, the student is limited by the class and by the restricted group of people enrolled in that same university degree. In which way can the university facilitate that students get to each other so that they can find aspects in common and therefore the set of relationships grows? This chapter shows how our university—Universidad de Almería, UAL—globalizes its campus providing access to every student, as well as how this social network is succeeding.


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