Food traceability: New trends and recent advances. A review

R Badia-Melis, P Mishra, L Ruiz-García - Food control, 2015 - Elsevier
Current traceability systems are characterized by the inability to link food chains records,
inaccuracy and errors in records and delays in obtaining essential data, which are …

A review of fuzzy cognitive maps research during the last decade

EI Papageorgiou, JL Salmeron - IEEE transactions on fuzzy …, 2012 - ieeexplore.ieee.org
This survey makes a review of the most recent applications and trends on fuzzy cognitive
maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for …

Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems

SA Gray, S Gray, JL De Kok, AER Helfgott, B O'Dwyer… - Ecology and …, 2015 - JSTOR
There is a growing interest in the use of fuzzy cognitive mapping (FCM) as a participatory
method for understanding social-ecological systems (SESs). In recent years, FCM has been …

[PDF][PDF] Competency assessment model for a virtual laboratory system at distance using fuzzy cognitive map

OM Cornelio, IS Ching, JG Gulín… - Investigación …, 2018 - researchgate.net
With the development of Information Technology and Communications (ICT) are
increasingly knowledge areas within it. The automatic control has contributed its Systems of …

[HTML][HTML] Modelo para el análisis de escenarios basado en mapas cognitivos difusos: estudio de caso en software biomédico

M Leyva-Vázquez, K Pérez-Teruel… - Ingeniería y …, 2013 - scielo.org.co
El análisis de escenarios es un método de planificación estratégica frecuentemente
utilizado en la gestión tecnológica. La utilización de mapas cognitivos difusos con este …

Model predictive control of unknown nonlinear dynamical systems based on recurrent neural networks

Y Pan, J Wang - IEEE Transactions on Industrial Electronics, 2011 - ieeexplore.ieee.org
In this paper, we present a neurodynamic approach to model predictive control (MPC) of
unknown nonlinear dynamical systems based on two recurrent neural networks (RNNs). The …

The use of participatory modeling to promote social learning and facilitate community disaster planning

S Henly-Shepard, SA Gray, LJ Cox - Environmental Science & Policy, 2015 - Elsevier
Coastal island communities face significant risks associated with increased natural hazards
and other impacts associated with climate change. Further, deeply rooted social issues, lack …

On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018

A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

E Bakhtavar, M Valipour, S Yousefi, R Sadiq… - Complex & Intelligent …, 2021 - Springer
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …

Modelo para la toma de decisiones sobre el control de acceso a las prácticas de laboratorios de Ingeniería de Control II en un sistema de laboratorios remoto

O Mar Cornelio - 2019 - repositorio.uci.cu
En Cuba la formación de especialistas en automática se realiza mediante la carrera de
Ingeniería en Automática que tiene dentro de sus disciplinas fundamentales, la disciplina …