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 …

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 …

In this work, we extend to the interval-valued setting the notion of overlap functions,
presenting a method which makes use of interval-valued overlap functions for constructing …

Overlap and grouping functions have been proposed by Bustince et al. for applications in
image processing, classification problems and decision making based on fuzzy preference …

Abstract Third-party logistics (3PL) has involved a significant response among researchers
and practitioners in the recent decade. In the global competitive scenario, multinational …

This paper describes an approach in the selection and evaluation of the criteria and
attributes of criteria for selecting the air traffic protection aircraft. After collected initial criteria …

We consider the problem of measuring the degree of inclusion and similarity between
interval-valued fuzzy sets. We propose a new idea for constructing indicators of inclusion …

Yager's f-generated implication is one important class of fuzzy implication, which is based on
additive generators of continuous Archimedean t-norms. Considering the related interval …

As special sorts of nonassociative binary aggregation operators, overlap and grouping
functions show tremendous potential in dealing with classification problems and making …