A time‐driven FCA‐based approach for identifying students' dropout in MOOCs
In online learning, the dropout phenomenon is a relevant issue to address with practical solutions. Several data sets stimulate original, and resolutive data analysis approaches, demonstrating the importance of the dropout phenomenon. This study ...
A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry
This study proposes a novel structured framework for analyzing sustainable operational performance‐related issues of ash handling unit (AHU) under vague/uncertain information and its impact on ecofriendly production. The structured framework is ...
Using self‐organising maps to predict and contain natural disasters and pandemics
The unfolding coronavirus (COVID‐19) pandemic has highlighted the global need for robust predictive and containment tools and strategies. COVID‐19 continues to cause widespread economic and social turmoil, and while the current focus is on both ...
Similarity–trust network for clustering‐based consensus group decision‐making model
Trust relation, as defined in Social Network Analysis (SNA), is one of the recent notions considered in decision making. This inspired our integration of trust relation in constructing a similarity–trust network. Similarity of experts' preferences ...
Social‐trust‐aware variational recommendation
Most existing studies that employ social‐trust information to solve the data sparsity issue in recommender systems assume that socially connected users have equal influence on each other. However, this assumption does not hold in practice since ...
Boosting training for PDF malware classifier via active learning
Machine learning algorithms are widely used for cybersecurity applications, include spam, malware detection. In these applications, the machine learning model has to face attack by adversarial samples. Therefore, how to train a robust machine ...
Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach
This paper presents an approach based on emerging pattern mining to analyse cancer through genomic data. Unlike existing approaches, mainly focused on predictive purposes, the proposal aims to improve the understanding of cancer descriptively, not ...
Choquet integral‐based measures of economic welfare and species diversity
Measures of diversity, spread and inequality can be important indicators in domains as diverse as ecology, economics and health. One of the key characteristics of such indices is the Pigou–Dalton (P‐D) principle, also known as the principle of ...
Comparing global news sentiment using hesitant linguistic terms
Global policy makers need to maintain a pulse on the state of play of global governance. Advances in analytical tools, such as global news dashboards, can provide current information on changes to global sentiment. In particular, identifying ...
A fuzzy aspect‐based approach for recommending hospitals
The process to assess a hospital performance usually needs the interaction of a lot of experts and patients and is very costly and time‐consuming. Nevertheless, the availability of patient opinions on the Internet offers a great opportunity to ...
Environment adaptive deployment of water quality sensor networks
Water quality sensor networks can be used for monitoring water environment, early warning and prevention of water pollution through accurate collection of water quality information. Effective deployment of the network can improve its monitoring ...
“The following articles for this Special Issue were published before this collection was released. They can be found in their respective issues or online.”
Volume 36, Number 6
Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method
Nezir Aydin and Sukran Seker
https://doi.org/10.1002/int.22410
Volume 36, Number 9
Optimization of electric vehicles charging station deployment by ...
