In this paper, we have studied the Dempster–Shafer theory of evidence in situations of
decision making with linguistic information and we develop a new aggregation operator …

With respect to the multi-attribute group decision-making problems in which the attribute
values and attribute weights take the form of the interval grey linguistic variables, the multi …

Approximate string matching is one of the most important technologies in the field of
computer science, and it is widely used in network security, computational biology …

In recent days an explosion in demand is being resulted for internet-based assessment
solutions. The number of internet assessment vendors has increased dramatically, and they …

The Heronian mean is a useful aggregation operator which can capture the interrelationship
of the input arguments. In this paper, we develop some Heronian means based on uncertain …

Even though there have been so many articles and studies that focused on the supplier
selection problem, a few of them considered the major decisions related to supplier …

The development of the logistics sector among the last decades has allowed the growth of
organisational competitive advantages through the concept of reverse logistics (RL). As part …

With respect to the characteristics of fuzziness, complexity and uncertainty for many group-
decision making problems in real world, the paper proposes a novel method based on the …

Multi-criteria decision making is aimed on the selection of the best alternative by
aggregating an expert's elicitations/knowledge. Expert's knowledge is represented by …

With respect to multiple attribute decision making (MADM) problems in which attribute
values take the form of interval grey linguistic variables, a new decision making analysis …