AFRYCA 2.0: an improved analysis framework for consensus reaching processes
Tipo de publicación: International Journal
Año de publicación: 2017
Autores: Álvaro Labella
Director: Francisco Javier Estrella, Luis Martínez
Tipo: Progress in Artificial Intelligence
Volumen: 6
Paginación: 181-194
Numero ISSN: 2192-6360
Resumen: Consensus reaching processes (CRPs) are increasingly important in the resolution of group decision-making (GDM) problems. There are many proposals of CRPs models with different characteristics, being difficult either to choose the most adequate for a given GDM problem or for making comparisons among them. For this reason, AFRYCA was proposed as a framework able to carry out comparison analyses and studies of CRPs in GDM problem resolution. This paper presents AFRYCA 2.0 which overcomes some limitations identified in the previous version. This new version incorporates new features for the analysis of CRPs, and increases its functionality, resulting a more powerful framework. Additionally, to show the usefulness and effectiveness of the new functionality of AFRYCA 2.0, an experimental study is carried out.
DOI: 10.1007/s13748-016-0108-y