Unveiling Water Quality Insights by Exploring Intuitionistic Fuzzy TOPSIS in Multicriteria Decision Analysis

Abstract

The groundbreaking study employs the Intuitionistic Fuzzy Sets-TOPSIS (IFT) model to systematically evaluate the Cauvery River’s water quality. To properly handle the complexity of intuitionistic fuzzy sets, the method starts with building a decision matrix. The Analytic Hierarchy Process (AHP), which tackles the imprecision of evaluation indices, produces weight coefficients that are properly defined. This produces a weighted decision matrix that makes it easier to establish membership tiers for different states with regards to water quality. Water quality is mostly determined by the highest membership level at the top of the hierarchy. The tremendous precision of the procedure shows how useful it could be for upcoming evaluations of water quality. In order to boost robustness even more, the technique gains legitimacy and credibility through the integration of the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI).