Francisco Javier Cabrerizo

TL;DR: This contribution presents a comprehensive review on the h-index and related indicators field, studying their main advantages, drawbacks and the main applications that can be found in the literature.

TL;DR: This paper presents an overview of consensus models based on soft consensus measures, showing the pioneering and prominent papers, the main existing approaches and the new trends and challenges.

TL;DR: This paper analyzes the literature on virtual and remote labs from its beginnings to 2015, identifying the most influential publications, the most researched topics, and how the interest in those topics has evolved along the way.

TL;DR: The main goal of this paper is to present a new consensus model for heterogeneous group decision making problems guided also by the heterogeneity criterion, also based on consensus degrees and similarity measures, but it presents a new feedback mechanism that adjusts the amount of advice required by each expert depending on his/her own relevance or importance level.

TL;DR: A consensus model to help experts in all phases of the consensus reaching process in group decision-making problems in an unbalanced fuzzy linguistic context with incomplete information is presented and it allows to achieve consistent solutions with a great level of agreement.