TY - JOUR
T1 - Consensus under a fuzzy context
T2 - Taxonomy, analysis framework AFRYCA and experimental case of study
AU - Palomares, Iván
AU - Estrella, Francisco J.
AU - Martínez, Luis
AU - Herrera, Francisco
N1 - Funding Information:
We would like to thank the former and founding journal Editor, B.V. Dasarathy, for the discussion on the necessity of a proper framework of reference in the field of consensus reaching, and his interest and the encouragement offered to develop this proposal. This work is partially supported by the Research Project TIN-2012-31263 and ERDF.
PY - 2014/11
Y1 - 2014/11
N2 - Consensus reaching processes play an increasingly important role in the resolution of group decision making problems: a solution acceptable to all the experts participating in a problem is necessary in many real-life contexts. A large number of consensus approaches have been proposed to support groups in such processes, each one with its own characteristics, such as the methods utilized for the fusion of information regarding the preferences of experts. Given this variety of existing approaches in the literature to support consensus reaching processes, this paper considers two main objectives. Firstly, we propose a taxonomy that provides an overview and categorization of some existing consensus models for group decision making problems defined in a fuzzy context, taking into account the main features of each model. Secondly, the paper presents AFRYCA, a simulation-based analysis framework for the resolution of group decision making problems by means of different consensus models. The framework is aimed at facilitating a study of the performance of each consensus model, as well as determining the most suitable model/s for the resolution of a specific problem. An experimental study is carried out to show the usefulness of the framework.
AB - Consensus reaching processes play an increasingly important role in the resolution of group decision making problems: a solution acceptable to all the experts participating in a problem is necessary in many real-life contexts. A large number of consensus approaches have been proposed to support groups in such processes, each one with its own characteristics, such as the methods utilized for the fusion of information regarding the preferences of experts. Given this variety of existing approaches in the literature to support consensus reaching processes, this paper considers two main objectives. Firstly, we propose a taxonomy that provides an overview and categorization of some existing consensus models for group decision making problems defined in a fuzzy context, taking into account the main features of each model. Secondly, the paper presents AFRYCA, a simulation-based analysis framework for the resolution of group decision making problems by means of different consensus models. The framework is aimed at facilitating a study of the performance of each consensus model, as well as determining the most suitable model/s for the resolution of a specific problem. An experimental study is carried out to show the usefulness of the framework.
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U2 - 10.1016/j.inffus.2014.03.002
DO - 10.1016/j.inffus.2014.03.002
M3 - Article
AN - SCOPUS:84901619037
SN - 1566-2535
VL - 20
SP - 252
EP - 271
JO - Information Fusion
JF - Information Fusion
IS - 1
ER -