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
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
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 …
Extensions of fuzzy cognitive maps: a systematic review
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 …
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 …
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 …
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 …
Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm
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 …
Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive map
Hospitals as healthcare centers have faced many challenges with the Covid-19 spread,
which results in a decline in the quality of health care. Because the number of patients …
which results in a decline in the quality of health care. Because the number of patients …