An agent model based on ideas of concordance and discordance for group ranking problems

2005 ◽  
Vol 39 (3) ◽  
pp. 429-443 ◽  
Author(s):  
Eduardo Fernandez ◽  
Rafael Olmedo
2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG

2018 ◽  
Vol 17 (03) ◽  
pp. 741-761
Author(s):  
Li-Ching Ma

Group-ranking problems are widely encountered decision problems which combine personal preferences to form an integrated group priority; however, providing support to solve group-ranking problems is difficult because each person has his/her own viewpoint regarding how such decisions should be made. In addition, many researchers have shown that visual aids are useful in helping users comprehend decision backgrounds. Therefore, determining how to support the group-ranking process and providing visual aids is an important issue. This study proposes a novel graphical approach to discover group consensus sequences. First, a counting-based data mining approach is constructed to discover a consensus preference matrix. Second, an ordinal Gower plot can be drawn whereby group consensus sequences can be directly observed. Unlike previous methods, the proposed approach can discover group consensus sequences without involving tedious candidate generation and exhaustive search processes, derive a total ranking list, as well as provide visual aids to users.


Author(s):  
Dussadee Praserttitipong ◽  
Peraphon Sophatsathit
Keyword(s):  

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