Abstract Performance of Machine Learning models heavily depends on the quality of the
training dataset. Among others, the quality of training data relies on the consistency of the …

Consensus reaching processes as part of solving group decision-making problems attempt
to reach a mutual agreement in the group before making a decision. Most consensus …

The aim of this paper is to present a logarithmic least squares method (LLSM) to priority for
group decision making with incomplete fuzzy preference relations. We give a reasonable …

Explanations help users to better understand why a set of items has been recommended.
Compared to single user recommender systems, explanations in group recommender …

This paper proposes a trust model to achieve consensus in a Group Decision Making
(GDM). The setting of GDM here comprises of decision maker varied from expert to novice …

In a group decision making (GDM) situation with qualitative settings and complex
environments, experts may require intervals with corresponding possibility values, rather …

Interval type‐2 fuzzy sets (IT2 FSs) are powerful tools for dealing with linguistic information
in decision making. However, there is a dearth of research regarding the consistency of …

Explanations are integrated into recommender systems to give users an insight into the
recommendation generation process. Compared to single-user recommender systems …

En este capítulo se describe el diseño de la investigación enfocada al desarrollo de una
metodología para la clasificación robusta de artículos en inventario basada en el análisis …

Generalmente los estudios sobre diversidad están encaminados a la biología de la
conservación de las comunidades y nuestros recursos. En ese sentido, se refiere a ios …