Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …

The COVID-19 outbreak has demonstrated the diverse challenges that supply chains face to
significant disruptions. Vaccine supply chains are no exception. Therefore, it is elemental …

In this paper, we propose the fuzzy Shehu transform method (FSTM) using Zadeh's
decomposition theorem and fuzzy Riemann integral of real-valued functions on finite …

E-learning in the context of Industry 4.0 and the outbreak of the COVID-19 pandemic has
transformed traditional education. However, the smooth transition from face-to-face …

In the field of multi-attribute group decision-making (MAGDM),“decision-making trial and
evaluation laboratory”(DEMATEL) is a popular method that has been deployed to discover …

Globalization, Industry 4.0, and the dynamics of the modern business environment caused
by the pandemic have created immense challenges for enterprises across industries …

Mining the interrelationships and possible hierarchical structures among the factors in real-
world multi-attribute decision-making (MADM) problems is considered one of the primary …

To take the vagueness of the expert opinions into account, intuitionistic fuzzy linguistics have
been used in the research work. In this paper, we propose a two-stage calculation of the …

In many real-world multi-attribute decision-making (MADM) problems, mining the inter-
relationships and possible hierarchical structures among the factors are considered to be …

Введение. За последние три десятилетия в мировой экономике произошли
значительные изменения, которые нашли свое отражение в технических и социально …