In the information age, there is a growing need to process and analyze the great number of
online reviews to understand consumer preferences and product reputations. Instead of …

The online commodity recommendation (OCR) model mines users' historical behavior
characteristics and recommends products that may be of interest according to user …

We consider clustering problems that involve categorizing alternatives into partially ordered,
initially undefined groups based on their performance across multiple criteria. To achieve …

The manifestation of the intensity in the judgment of one alternative versus another in the
peer comparison processes is a central element in some decision support techniques, such …

COVID-19, a highly contagious respiratory virus, emerged in Wuhan in December 2019,
leading to a global health emergency and subsequent pandemic declaration. Despite …

This work explores the intersection of Multiple Criteria Decision Aid (MCDA) and clustering
techniques, revealing unexploited potential and novel perspectives arising from their …

The problem of ordered clustering in the context of decision‐making with multiple criteria
has garnered significant interest from researchers in the field of management science and …

We consider the problem of detecting communities of the vertices of data structures defined
as hypergraphs. There are many methods that were devised to find communities on simple …