LINGUISTIC PYTHAGOREAN SUPER HYPERSOFT TOPOLOGICAL SPACE IN MULTI CRITERIA DECISION MAKING

Abstract

In this article topological framework of linguistic pythagorean super hypersoft set for medical diagnosis in uncertain multi-attribute settings. It uses pythagorean values and topological concepts such as subbase, interior, and closure. An algorithm integrating linguistic pythagorean super hypersoft set evaluation with topological operations such as interior and closure is developed for effective ranking and decision-making. A score- based ranking method is used to select optimal alternatives. The linguistic pythagorean super hypersoft topology method improves decision accuracy and reliability in medical diagnosis.