In practice, as a well-known statistical method, the logistic regression model is used to
evaluate the credit-worthiness of borrowers due to its simplicity and transparency in …

MULTIMOORA is a useful multi-criteria decision-making technique. The output of the
MULTIMOORA is a ranking obtained by aggregating the results of the ternary ranking …

This paper presents a new approach for the treatment of uncertainty which is based on
interval-valued fuzzy-rough numbers (IVFRN). It is shown that by integrating the rough …

Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

Floods are natural disasters with significant socio-economic consequences. Urban areas
with uncontrolled urban development, rapid population growth, an unregulated municipal …

This paper presents a novel approach for treating uncertainty in the multi-criteria decision
making process by introducing interval rough numbers (IRN). The IRN approach enables …

We have witnessed the impact of ML in disease diagnosis, image recognition and
classification, and many more related fields. Healthcare is a sensitive field related to …

A rough set approximates a subset of a universal set on the basis of some binary relation
and is significant for the reduction of attributes of an information system. On the other hand, a …

The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …

Real-world problems are commonly characterized by a high feature dimensionality, which
hinders the modelling and descriptive analysis of the data. However, some of these data …