TrF-BWM-Neutrosophic-TOPSIS Strategy under SVNS Environment Approach and Its Application to Select the Most Effective Water Quality Parameter of Aquaponic System

Abstract

The rapid emergence of aquaponics presents a promising solution for food production in arid 
regions, heavily reliant on maintaining optimal water quality parameters for overall success. However, 
monitoring and controlling these parameters can be complex and costly, involving numerous sensors and 
actuators. Focusing on the most significant parameter for fish growth could alleviate some of this complexity 
and promote sustainability by ensuring a balanced system. This study introduces a novel fuzzy-based Multiple 
Criteria Decision Making (MCDM) methodology, combining Trapezoidal Fuzzy with the Best Worst Method 
(BWM) and Neutrosophic-TOPSIS strategy, to identify the primary water quality parameters impacting fish 
growth. Through this innovative approach, essential indicators are identified to conduct efficiency analyses. 
Moreover, the study not only advances scientific understanding but also offers practical guidance for farmers 
and aquaponic enthusiasts, aiming to foster sustainability and effectiveness in aquaponic effective. 

DOI: 10.5281/zenodo.13173224