S Nădăban, S Dzitac, I Dzitac - Procedia computer science, 2016 - Elsevier
The aim of this survey paper is to offer a general view of the developments of fuzzy TOPSIS methods. We begin with a literature review an we explore different fuzzy models that have …
Most of state of the art methods applied on time series consist of deep learning methods that are too complex to be interpreted. This lack of interpretability is a major drawback, as several …
E Herrera-Viedma, I Palomares, CC Li… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
This article provides a brief tour through the main fuzzy and linguistic decision-making trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …
El presente libro muestra los avances en la neutrosofía llevados al idioma español. Además, presenta implementaciones computacionales utilizando los cuadernos de Jupyter …
In social network group decision making (SNGDM), the consensus reaching process (CRP) is used to help decision makers with social relationships reach consensus. Many CRP …
Y Dong, M Zhan, G Kou, Z Ding, H Liang - Information Fusion, 2018 - Elsevier
Opinion dynamics is a fusion process of individual opinions, in which a group of interacting agents continuously fuse their opinions on the same issue based on established fusion rules …
Dealing with uncertainty is always a challenging problem, and different tools have been proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has …
In group decision making (GDM) dealing with Computing with Words (CW) has been highlighted the importance of the statement, words mean different things for different people …
In the consensus reaching processes developed in group decision making problems we need to measure the closeness among experts' opinions in order to obtain a consensus …