An Adaptive Consensus Reaching Process Dealing with Comparative Linguistic Expressions in Large-scale Group Decision Making
- DOI
- 10.2991/eusflat-19.2019.26How to use a DOI?
- Keywords
- Large-scale group decision making Consensus reaching process Comparative linguistic expressions.
- Abstract
Nowadays, society often faces decision problems under uncertainty that hardly can manage by a single expert or a few of them because of their complexity. Under these conditions, large-scale group decision making (LS-GDM) problems are becoming more and more common. The decisions made on these types of problems might affect directly to lots of people in which the consensual decisions are better accepted and consensus reaching processes (CRPs) support reaching such consensus. LS-GDM under uncertainty has been solved by using linguistic information but considering only single linguistic terms to represent experts' opinions. Especially in large-scale, this is an important drawback, since the complexity of the problems causes the apparition of experts' hesitancy, which cannot be modeled by single linguistic terms. Concretely, comparative linguistic expression (CLEs) based on hesitant fuzzy linguistic term sets have provided remarkable results in hesitancy modeling. Therefore, this contribution aims at defining a novel adaptive CRP for LS-GDM in which experts' preferences are modeled by CLEs.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Álvaro Labella Romero AU - Rosa M. Rodríguez AU - Luis Martínez PY - 2019/08 DA - 2019/08 TI - An Adaptive Consensus Reaching Process Dealing with Comparative Linguistic Expressions in Large-scale Group Decision Making BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) PB - Atlantis Press SP - 170 EP - 177 SN - 2589-6644 UR - https://doi.org/10.2991/eusflat-19.2019.26 DO - 10.2991/eusflat-19.2019.26 ID - LabellaRomero2019/08 ER -