Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2021.1932546
Large-scale consensus with endo-confidence under probabilistic linguistic circumstance and its application
Wanqing Li
Lanhao Li
Zeshui Xu
Xiaoli Tian
Sažetak
In real decision-making problems, decision makers (DMs) usually
select the most potential project from several ones. However,
they unconsciously show different confidence levels in decisionmaking process because they come from various backgrounds
and have different experiences, etc., which affects the decision
results. Moreover, the probabilistic linguistic term set, which not
only includes the linguistic expressions used by DMs in their daily
life but also contains the probability for each linguistic term, can
well portray the real perceptions of DMs for the projects.
Furthermore, large-scale consensus has gradually been a popular
way to effectively solve complex decision-making problems. To
sum up, in this paper, we are dedicated to constructing a largescale consensus model considering the confidence levels of DMs
under probabilistic linguistic circumstance. Firstly, the endo-confidence is defined and measured by DM’s probabilistic linguistic
information. Then, the DMs are clustered according to the similarities of both evaluation information and the endo-confidence levels. Both evaluation of the non-consensus cluster and evaluation
integrated by the clusters with higher endo-confidence level than
this non-consensus cluster are used as the reference to adjust its
evaluation information. Then, a case study and the comparative
analysis are carried out. Finally, some conclusions and future work
are given.
Ključne riječi
Large-scale consensus; endo-confidence level; probabilistic linguistic term set
Hrčak ID:
302250
URI
Datum izdavanja:
31.3.2023.
Posjeta: 311 *