Iván Palomares

TL;DR: Fuzzy and linguistic decision-making approaches allow to address complex real-world decision problems where humans exhibit vagueness, imprecision, and/or use natural language to assess decision alternatives, criteria, etc as mentioned in this paper.

TL;DR: A comprehensive review of existing literature has been firstly conducted, after which a series SWOT analyses have been undertaken to identify the strengths, weaknesses, opportunities and threats inherent to artificial intelligence-driven technologies as facilitators or barriers to each of the SDGs as discussed by the authors.

TL;DR: In this paper, a limited trust propagation-based consensus model considering individual attitude for preference modification in a social networked setting with uncertain preference information is proposed, where the individual attitude toward modification is determined by a newly introduced measure of comprehensive relative out-degree centrality, showing the degree of willingness to adjust assessments.

TL;DR: This tutorial introduces the emerging and novel topic of reciprocal recommender systems, by analyzing their information retrieval, data-driven preference modelling and integration mechanisms for predicting suitable user matches.

TL;DR: A fuzzy clustering-based approach to detect and manage non-cooperative behaviors is integrated into a consensus model suitable to manage large groups of experts in group decision making problems.