This article introduces the notion of bipolar complex fuzzy soft set as a generalization of
bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary …

The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …

As a practical approach for handling uncertainty, various fuzzy sets combined with traditional
OR (operations research) methods have found huge applications. However, the fuzzy …

Many scholars have been challenged by multi-attribute group decision-making problems
that have stimulated the appearance of increasingly general models. Pythagorean fuzzy sets …

The assessment of classroom teaching quality is critically important for producing a positive
incentive and guidance role to improve service and management of universities, stimulating …

Data clustering is an instrumental tool in the area of energy management resources,
marketing, and business. Clustering helps to increase productivity, facilitate decision …

In this paper, we expand the Hamy mean (HM) operator, weighted Hamy mean (WHM), dual
Hamy mean (DHM) operator, and weighted dual Hamy mean (WDHM) operator with 2-tuple …

The goal of this paper is to present novel concepts and effective theories for the ability to
accurately represent difficult and ambiguous information in real-life problems. In order to …

Parameter reduction is an important operation for improving the performance of decision‐
making processes in various uncertainty theories. The theory of N‐soft sets is emerging as a …

This paper investigates the link prediction in multiplex networks. Multiplex networks that
represent multiple types of interaction between the same group of individuals are a special …