Using argumentation in expert’s debate to analyze multi-criteria group decision making method results
Metadata
Show full item recordAuthor
Morente Molinera, Juan Antonio; Kou, G.; Samuylov, K.; Cabrerizo, F.J.; Herrera Viedma, EnriqueEditorial
Elsevier
Materia
Multi-criteria group decision making Consensus measures Computing with words
Date
2021-06-06Referencia bibliográfica
J.A. Morente-Molinera... [et al.]. Using argumentation in expert’s debate to analyze multi-criteria group decision making method results, Information Sciences, Volume 573, 2021, Pages 433-452, ISSN 0020-0255, [https://doi.org/10.1016/j.ins.2021.05.086]
Sponsorship
Spanish State Research Agency PID2019-103880RB-I00/AEI/10.13039/501100011033; National Natural Science Foundation of China (NSFC) 71725001 71910107002; RUDN University Program 5-100Abstract
Recent multi-criteria group decision making methods focus their analysis on the experts
preferences. They do not take into account the reasons why each expert has provided a
specific set of preferences. In this paper, a method that introduces novel measures capable
of explaining the reasons behind experts decisions is presented. A novel concept, the arguments
are presented. They represent the experts have for maintaining a certain position in
the debate. Several measures related to the arguments are proposed. These new argumentation
measures, along with consensus measures, help us to get a clear idea about how and
why a specific resolution has been reached. They help us to determine which is the most
influential expert, that is, the expert whose contributions to the debate have inspired the
rest. Also, the proposed method allows us to determine which are the arguments that most
of the experts have followed. A clear overview about how the debate is evolving in terms of
arguments is also provided. The novel presented analysis indicate how the experts change
their opinions in every round and what was the reason for it, which changes have occurred
between rounds and they also provide global analysis results.