Selection of an Effective Hand Sanitizer to Reduce COVID‐19 Effects and Extension of TOPSIS Technique Based on Correlation Coefficient under Neutrosophic Hypersoft Set

Abstract

Correlation coefficients are used to tackle many issues that include indistinct as well as blurred information excluding is not able to deal with the general fuzziness along with obscurity of the problems that have various information. The correlation coefficient (CC) between two variables plays an important role in statistics. Likewise, the accuracy of relevance assessment depends on the information in a set of discourses. The data collected for numerous statistical studies is full of exceptions. The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with the subattributes of the parameters and is a proper extension of the neutrosophic soft set to accurately assess the deficiencies, anxiety, and uncertainty in decision-making. Compared with existing research, NHSS can accommodate more uncertainty, which is the most significant technique for describing fuzzy information in the decision-making process. The core objective of follow-up research is to develop the concept and characteristics of CC and the weighted correlation coefficient (WCC) of NHSS. We also introduced some aggregation operators in the considered environment, which can help us establish a prioritization technique for order preference by similarity to the ideal solution (TOPSIS) based on CC and WCC under NHSS. A decision-making strategy is established to solve multicriteria group decision-making (MCGDM) problems utilizing developed methodology. Moreover, the proposed method is utilized for the selection of an effective hand sanitizer during the COVID-19 pandemic to ensure the validity of the proposed approach. The practicality, effectivity, and flexibility of the current approach are proved through comparative analysis with the assistance of some existing studies.

Development of an Investment Sector Selector Using a TOPSIS Method Based on Novel Distances and Similarity Measures for Picture Fuzzy Hypersoft Sets

“…The selection of an effective hand sanitizer to reduce the effects of COVID-19 is a critical decision in the current global health crisis. An extension of the TOPSIS technique based on correlation coefficients under the NHSS presents by Samad [38] an innovative approach to this problem. Kalaichelvi [39] conducted a study that applied fuzzy soft sets to investment decision-making problems.…”

Numerical approach to solve Caputo‐Fabrizio‐fractional model of corona pandemic with optimal control design and analysis

“…The study of fractional-order COVID-19 infection model gradually attracted the researchers interests and attention. [42][43][44][45][46] The utilization of the fractional-order derivatives to COVID-19 infection model can describe their dynamics more precisely. The Caputo fractional derivatives and integrals are the most well known operators, historically been used for modeling many real world problems.…”

“…We observed that the data collected from real‐life phenomena fits better with fractional order system. The study of fractional‐order COVID‐19 infection model gradually attracted the researchers interests and attention 42–46 . The utilization of the fractional‐order derivatives to COVID‐19 infection model can describe their dynamics more precisely.…”

Analysis of Cryptocurrency Market by Using q‐Rung Orthopair Fuzzy Hypersoft Set Algorithm Based on Aggregation Operators

“…e basics of the hypersoft set, such as complement, non-set, hypersoft subset, and aggregation operators, were then presented by Saeed et al [25]. Several scholars have looked into different operators and features under the hypersoft set and its expansions [26][27][28][29][30]. e theme of the fuzzy intuitionistic soft set was then extended and a new theme of the intuitionistic fuzzy hypersoft set was established, as well as aggregation operators for solving MADM problems by Zulqarnain [31].…”