Neutrosophic Sets and Systems
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.
Recommended Citation
Debroy, Pragnaleena; Priyanka Majumder; Surapati Pramanik; and Lalu Seban. "TrF-BWM-Neutrosophic-TOPSIS Strategy under SVNS Environment Approach and Its Application to Select the Most Effective Water Quality Parameter of Aquaponic System." Neutrosophic Sets and Systems 70, 1 (2024). https://digitalrepository.unm.edu/nss_journal/vol70/iss1/13
