In many real-life problems, decision-making is reckoned as a powerful tool to manipulate the data involving imprecise and vague information. To fix mathematical problems containing more generalized datasets, an emerging model called q-rung orthopair fuzzy soft sets offers comprehensive framework for number of multi-attribute (MADM) situations but this not capable deal effectively with having bi...

The cubic q-rung orthopair hesitant fuzzy set (Cq-ROHFS) provides greater information and is capable of representing both the interval-valued (IVq-ROHFS) (q-ROHFS). concept Cq-ROHFS more flexible when considering symmetry between two or objects. In social life, complex decision often too uncertain to allow precision. sets are a useful tool for in situations. Using least common multiple (LCM) ex...

The core contribution of this study is to develop a novel generalized idea q-rung orthopair probabilistic hesitant fuzzy rough set (q-ROPHFRS) which hybrid structure the set, and set. q-ROPHFRS covers positive negative membership grades in form information address uncertainties real-world decision-making problems. This paper proposes list averaging/geometric aggregation operators handle uncerta...

A new inclusion called total relation has improved the existing dissimilarity measure for q-rung orthopair fuzzy sets (qROFSs). For qROFSs, modified axiomatic definition of is proposed. The Hamming and Euclidean measures are defined. An algorithmic procedure a robust VIKOR method based on established. application in Mass Vaccination Campaigns (MVCs) COVID-19 situation given.

Entropy is an important tool to describe the degree of uncertainty fuzzy sets. In this study, we first define a new entropy and distance measure in linguistic q-Rung orthopair (LIVqROF) environment, verify its correctness rationality. Secondly, LIVqROF formula effectively applied multi-attribute decision making (MADM) with unknown attribute weights, which provides idea for solving MADM problems...

The influence of COVID-19 on individuals, businesses, and corporations is indisputable. Many markets, particularly financial have been severely shaken suffered significant losses. Significant issues arisen in supply chain networks, terms financing. consequences had a effect financing (SCF), which responsible for finance components improved performance. primary source providers. Among providers,...

In recent years, q-rung orthopair fuzzy sets (q-ROFSs), a novel and rigorous generalization of the set (FS) coined by Yager in 2017, have been used to manage inexplicit indefinite information daily life with high precision greater accuracy than intuitionistic (IFSs) Pythagorean (PFSs). The characterization measure similarity between q-ROFSs is important, as they applications different areas, in...