Linguistic Dual Hesitant Hypersoft Set and their Application with Decision Making in Medical Diagnosis and Treatment

Authors

  • B. Sathiyapriya Research Scholar, Department of Mathematics, Sri G.V.G Visalakshi College for Women, Udumalpet, Tamilnadu, India,
  • Dr. V. Pankajam Assistant Professor, Department of Mathematics, Sri G.V.G Visalakshi College for Women, Udumalpet, Tamilnadu, India,

Keywords:

Linguistic set, Dual Hesitant set, soft set, hypersoft set and multi-criteria decision making (MCDM).

Abstract

This study presents Linguistic Dual Hesitant Hypersoft Set (LDHHS) for Analysing 
Medical Diagnose. In LDHHS, linguistic terms are combined with Dual Hesitant logic to 
handle uncertainty and vagueness in Decision-Making. The Hypersoft Set extend traditional 
soft sets by handling multi-attributes and interdependent parameters in Decision-Making. In 
the context of LDHHS can be used to categorize and assess different aspects of Aggregation 
and using Decision-Making in Medical Diagnose. In this study the development of this 
framework, its application and its potential impact using a Gastroesophageal reflux disease 
(GERD) case study to illustrate its effectiveness.

 

DOI 10.5281/zenodo.17969570

Downloads

Download data is not yet available.

Downloads

Published

2026-04-25

Issue

Vol. 98 (2026): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2025 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

B. Sathiyapriya, & Dr. V. Pankajam. (2026). Linguistic Dual Hesitant Hypersoft Set and their Application with Decision Making in Medical Diagnosis and Treatment . Neutrosophic Sets and Systems, 98, 1-20. https://fs.unm.edu/nss8/index.php/111/article/view/7501