The Prognosis of Allergy-Based Diseases Using Pythagorean Fuzzy Hypersoft Mapping Structures and Recommending Medication

Muhammad Haris Saeed,Muhammad Saeed,Asad Mehmood,Ibrahim Mekawy,Muhammad Ahsan,Hamiden Abd El-Wahed Khalifa

doi:10.1109/access.2022.3141092

Muhammad Haris Saeed, Muhammad Saeed + Show 4 more

Open Access

https://doi.org/10.1109/access.2022.3141092

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Abstract

The Pythagorean fuzzy set (PFS), which Yager extended, is a novel tool for dealing with ambiguity when considering membership(MS) grade p and non-membership (NMS) q that fulfil the criteria <inline-formula> <tex-math notation="LaTeX">$p^{2} + q^{2} \leq 1$ </tex-math></inline-formula> allowing the structure to characterise fuzziness more thoroughly and precisely than intuitionistic fuzzy sets. The Pythagorean Fuzzy Hypersoft (PFHS) set theory is a useful method for dealing with abnormalities and uncomfortable information in real-life situations. The Pythagorean fuzzy set and the Hypersoft set, which comprise the truthfulness grade (TG) and falsehood grade (FG) in the Pythagorean environment, are combined in the PFHS principle. This study tries to define the arguments around allergy diagnosis and the effects that arise with it. After considering the dire outcomes of Allergies, it becomes challenging to distinguish between the various types of Allergies and their complexity. Because the false portions of practical assessments are usually ignored, precision in the person’s developmental history is difficult to recognize, and number of sessions cannot be projected. This work presents the PFHS set and PFHS mapping with its inverse mapping (INM) to alleviate these constraints. These notions are capable and necessary for correctly analyzing the problem by combining it with scientific modelling. This study establishes a link between symptoms and medications, lowering the narrative’s complexity. For the various types of allergies, a table based on a fuzzy interval between [0, 1] is created. The techniques that are based on PFHS-mapping, which is used to effectively identify a problem then choose the right treatment for each patient’s condition.

Highlights

Over the last decade, a dramatic increase has been observed in allergic diseases in industrialized countries
We develop χS ∈ Pythagorean Fuzzy Hypersoft (PFHS)(R) presented as table 10
The system is constructed on trimming PFHS set designs that can detect a condition of the patient ahead of time and estimate the medical symptoms over time to know the health caused by medicine

Summary

INTRODUCTION

A dramatic increase has been observed in allergic diseases in industrialized countries. A hypersoft set has the ability to arrange information for its easy evaluation and analysis Another hybrid structure introduced in this model related to PFS which can deal with ambiguity when considering MS grade p and NMS q that fulfil the criteria p2 + q2 ≤ 1 and distributes the data into two possible positive and negative dimensions with respect to the patient’s condition and parametric values. Mapping corresponds to the development of a connection between multiple domains regulated by a set of restrictions that transfers an embedded parameters to its facilitate understanding parameterized element predicated on the key and structural resemblances enabling one to analyze parameters of comparable type in a single related parameter This methodology’s intention is to establish the assessment of Allergy and the indicators that characterize it.

PRELIMINARIES

PFHS MAPPINGS

IMPLEMENTATION OF THE PFHS MAPPING TO ALLERGY AND ADJACENT CHARACTERISTICS

Findings

CONCLUSION