Utilizing Q-Rung Orthopair Fuzzy Bipolar Hypersoft Sets for Enhanced Chickenpox Diagnosis

Abstract

Due to the various and ambiguous symptoms of this disease, it is diffi- cult to diagnose. Moreover, this kind of common viral infection is marked by rashes which itch while giving flu-like symptoms. Similarly, traditional diagnostic means of extraction compared to the difficulty in treating un- treated cells are effective but not without their shortcomings This paper takes Q-Rung Orthopair Hypersoft Sets as a new paradigm law on a dif- ferent level, which is to say combining benefits from bipolar fuzzy sets and Orthopair Q-Rung fuzzy sets we get an amalgamated method which combines either or both of the former, as well as soft set theory. Based on the framework of Q-Rung Orthohedra fuzzy bipolar hypersoft, this model derives sharp representations for the two-sided and imprecise data in med- ical field. Meanwhile, it improves processing of dual-aspect uncertain In the following we give a variety of diagnostic examples in order to illus- trate this new framework ’s utility and compare it with traditional means of diagnosis.The results show that its diagnostic effectiveness and relia- bility are significantly better than traditional methods. This study offers a satisfactory diagnostic tool which uniquely combines all the properties of Q-ROFBHSs, resulting in better patient outcomes and more effective illness management in clinical setting