TY - GEN
T1 - Attitude-driven web consensus support system for large-scale GDM problems based on fuzzy linguistic approach
AU - Palomares, Iván
AU - Martínez, Luis
PY - 2013
Y1 - 2013
N2 - In real-life Group Decision Making problems defined under uncertainty, it is usually necessary to carry out a consensus reaching process to achieve a solution that is accepted by all experts in the group. Additionally, when a high number of experts take part in such processes, it may sometimes occur that some subgroups of them with similar interests try to bias the collective opinion, which makes it more difficult to reach a collective agreement. The consensus reaching process could be optimized if the group's attitude towards consensus were integrated in it, and the complexity of dealing with large groups of experts could be reduced with the adequate automation of such a process. This paper presents a Web-based Consensus Support System for large-scale group decision making problems defined under uncertainty, that integrates the group's attitude towards consensus and allows experts to provide their preferences by means of linguistic information. The underlying consensus model of the proposed system carries out processes of Computing with Words to deal with linguistic preferences effectively.
AB - In real-life Group Decision Making problems defined under uncertainty, it is usually necessary to carry out a consensus reaching process to achieve a solution that is accepted by all experts in the group. Additionally, when a high number of experts take part in such processes, it may sometimes occur that some subgroups of them with similar interests try to bias the collective opinion, which makes it more difficult to reach a collective agreement. The consensus reaching process could be optimized if the group's attitude towards consensus were integrated in it, and the complexity of dealing with large groups of experts could be reduced with the adequate automation of such a process. This paper presents a Web-based Consensus Support System for large-scale group decision making problems defined under uncertainty, that integrates the group's attitude towards consensus and allows experts to provide their preferences by means of linguistic information. The underlying consensus model of the proposed system carries out processes of Computing with Words to deal with linguistic preferences effectively.
UR - https://www.scopus.com/pages/publications/84885060917
UR - https://www.scopus.com/pages/publications/84885060917#tab=citedBy
U2 - 10.1007/978-3-642-40643-0_10
DO - 10.1007/978-3-642-40643-0_10
M3 - Conference contribution
AN - SCOPUS:84885060917
SN - 9783642406423
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 91
EP - 100
BT - Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Proceedings
T2 - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013
Y2 - 17 September 2013 through 20 September 2013
ER -