The objective of this paper is to propose a novel dual-level multisource information fusion
approach for handling open multicriteria decision-making (MCDM) issues related to …

The class imbalance problem is one of the difficult factors affecting the performance of
traditional classifiers. The oversampling technique is the most common way to solve the …

Detecting plagiarism in academic papers is crucial for maintaining academic integrity,
preserving the originality of published work, and safeguarding intellectual property. While …

Metaheuristic methods are optimization methods that look for different ways to converge to a
solution to a problem where it is difficult to find a solution analytically. Their difference from …

Debido a que la gran cantidad de datos generada por empresas, instituciones y usuarios es
cada vez mayor, múltiples veces es necesario lidiar con conjuntos de datos con elevado …

The degree to which objects differ from each other with respect to observations on a set of
variables, plays an important role in many statistical methods. Many data analysis methods …

This research aims to produce a new method called pasca-multidimensional scaling (pasca-
MDS) by modifying the multidimensional scaling (MDS) method, the developed model …

Defining a distance in a mixed setting requires the quantification of observed differences of
variables of different types and of variables that are measured on different scales. There …

Integrating Augmented Reality (AR) into neurosur-gical procedures has shown substantial
promise in enhancing surgical precision and educational outcomes, building upon previous …

Celem pracy jest przedstawienie jednej z metod porządkowania liniowego–metody
Hellwiga z wykorzystaniem różnych miar odległości, a następnie zbadanie czy zastosowane …