Abstract Basic Uncertain Information (BUI) was proposed as an information granule that
simultaneously accounts for both the value of the input and the certainty about that value. To …

Compositional data (CoDa) is a type of relative data reflecting the proportion of different
units in an integrated system, which can reveal the internal structure of observed objects and …

The subject of electric vehicles (EVs) is constantly relevant from the perspective of climate
change and sustainability. Multi-Criteria Decision Analysis (MCDA) methods can be …

Intervals are a popular way to represent the uncertainty related to data, in which we express
the vagueness of each observation as the width of the interval. However, when using …

Uncertainties are pervasive in ever-increasing more practical evaluation and decision
making environments. Numerical information with uncertainty losses more or less credibility …

This letter reports a new type of uncertain information that is different from some well known
existing uncertain information, such as probability information, fuzzy information, interval …

Enhancing the ability to make informed decisions stands as a significant challenge in
modern IT. Specifically, there is a growing need to improve the efficiency of classification …

Basic uncertain information is a recently introduced and significant type of uncertainty that
proves particularly valuable in decision-making environments with inherent uncertainties. In …

In this paper, we propose a new generalization of the classical discrete Choquet integral to
the multivalued framework in terms of an admissible order that refines the natural partial …

Abstract The Basic Uncertain Information (BUI) is a recently introduced type of uncertain
data that has rapidly undergone development and practical application. The existing …