The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

Deep learning techniques have found applications across diverse fields, enhancing the
efficiency and effectiveness of decision-making processes. The integration of these …

Automated scoring of subjective assignments (ASSA), one of the most representative
applications in the field of artificial intelligence in education, is the process of scoring and …

Abstract The ongoing Russia-Ukraine conflict has made the global energy crisis a severe
issue, particularly for emerging economies with a sharp rise in load shedding in …

As the digitalization process has become more and more important in our daily lives, during
recent decades e-commerce has greatly increased in popularity, becoming increasingly …

Due to privacy and sensitivity of the medical images, the creation of strong medical image
encryption schemes has gained the attention of cryptographers. In this study, a robust …

Enhancing decision-making under risks is crucial in various fields, and three-way decision
(3WD) methods have been extensively utilized and proven to be effective in numerous …

This paper aims to contribute to the extension of classical Formal Concept Analysis (FCA),
allowing the management of unknown information. In a preliminary paper, we define a new …

Emotion processing has been a very intense domain of investigation in data analysis and
NLP during the previous few years. Currently, the algorithms of the deep neural networks …

Uncertain information processing is a key problem in classification. Dempster-Shafer
evidence theory (DS evidence theory) is widely used in uncertain information modelling and …