State-of-the-art in artificial neural network applications: A survey
This is a survey of neural network applications in the real-world scenario. It provides a
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …
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 …
methods to answer education-related problems based on the analysis of educational data …
An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance
S Yousefi, BM Tosarkani - International Journal of Production Economics, 2022 - Elsevier
Nowadays, distributed ledger technologies (eg, blockchain technology) can play significant
roles in improving supply chain management and sustainability. Blockchain technology can …
roles in improving supply chain management and sustainability. Blockchain technology can …
Multichannel digital marketing optimizations through big data analytics in the tourism and hospitality industry
The tourism sector increasingly relies on technology to acquire new clients in a world
overflowing with information. So, the main question that needs to be answered is: What …
overflowing with information. So, the main question that needs to be answered is: What …
Sistema de apoyo al diagnóstico médico de COVID-19 mediante mapa cognitivo difuso
O Mar Cornelio, J Gulín González… - Revista Cubana de …, 2021 - SciELO Public Health
Introducción: Los escenarios de convivencia de las diversas poblaciones son muy
complejos, lo que contribuye con la propagación de enfermedades. Diagnosticar …
complejos, lo que contribuye con la propagación de enfermedades. Diagnosticar …
Fuzzy cognitive maps in systems risk analysis: a comprehensive review
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 …
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
Extensions of fuzzy cognitive maps: a systematic review
R Schuerkamp, PJ Giabbanelli - ACM Computing Surveys, 2023 - dl.acm.org
Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
Algorithms for ethical decision-making in the clinic: A proof of concept
Abstract Machine intelligence already helps medical staff with a number of tasks. Ethical
decision-making, however, has not been handed over to computers. In this proof-of-concept …
decision-making, however, has not been handed over to computers. In this proof-of-concept …
A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach
The nature of technological innovations is unpredictable, therefore decision making on
disruptive technologies such as the Internet of Things (IoT) in many public sector …
disruptive technologies such as the Internet of Things (IoT) in many public sector …
Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm
M Abbaspour Onari, S Yousefi… - Artificial Intelligence …, 2021 - Springer
Abstract The Failure Mode and Effects Analysis (FMEA) technique due to its proactive nature
can identify failures and their causes as well as potential effects, and provide …
can identify failures and their causes as well as potential effects, and provide …