An Intuitionistic Fuzzy PROMETHEE II Approach for Unveiling Water Quality Insights in the Cauvery River

M. Priya () and R. Kumaravel
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M. Priya: Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India
R. Kumaravel: Department of Career Development Centre, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India

New Mathematics and Natural Computation (NMNC), 2025, vol. 21, issue 03, 901-913

Abstract: A critical process that involves a thorough examination of the physical, chemical, and biological properties of water to ascertain its suitability for different applications, such as drinking, farming, and industrial, is water quality assessment. Poor land use and pollutant discharge are two classic examples of how natural and anthropogenic factors can have a significant impact on water quality. Water quality is assessed using key indicators such as dissolved oxygen (DO), biological oxygen demand (BOD), and fecal coloniform (FC). In Multi-Criteria Decision-Making (MCDM) in water quality assessment, appropriate weights are assigned to criteria and preference functions reflect the preferences of decision-makers. This is where the Intuitionistic Fuzzy PROMETHEEÂ II technique comes into play. In the assessment of water quality, Principal Component Analysis (PCA) deals with correlations between metrics. To summarize, the process of evaluating the quality of water entails examining its attributes and employing sophisticated techniques such as PCA and Fuzzy PROMETHEE II to make well-informed decisions for a range of uses.

Keywords: Fuzzy AHP; fuzzy PROMETHEE II; intuitionistic fuzzy PROMETHEE II; water quality; principal component analysis (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S1793005725500450

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