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OPA-IF-Neutrosophic-TOPSIS Strategy under SVNS Environment Approach and Its Application to Select the Most Effective Control Strategy for Aquaponic System
Volume 36, Issue 1 (2025), pp. 1–32
Pragnaleena Debroy   Florentin Smarandache   Priyanka Majumder   Parijata Majumdar   Lalu Seban  

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https://doi.org/10.15388/24-INFOR583
Pub. online: 14 January 2025      Type: Research Article      Open accessOpen Access

Received
1 May 2024
Accepted
1 December 2024
Published
14 January 2025

Abstract

The accelerated progress of aquaponics offers a promising remedy for food production in arid regions, where success heavily hinges on sustaining optimal water quality parameters of aquaponic system. However, managing water parameters in large-scale aquaponic farms, given their complex and interconnected nature, poses significant challenges. Various control approaches have been introduced over the years, but selecting the most suitable one is vital for ensuring stability, efficiency, and high productivity. In this study, a novel fuzzy-based Multiple Criteria Decision Making (MCDM) methodology is proposed, which combines the Intuitionistic Fuzzy Ordinary Priority Approach (OPA-IF) with the Neutrosophic-TOPSIS strategy. This methodology aims to identify the most appropriate control strategy for large-scale aquaponic systems. The OPA-IF analysis reveals that the ‘Capability to Handle MIMO Systems’ is the most critical criterion, leading to the conclusion, through the Neutrosophic-TOPSIS approach, that ‘Model Predictive Control (MPC)’ is the optimal choice for managing large-scale aquaponic systems. Additionally, a comparative analysis using the BWM-Neutrosophic-TOPSIS strategy further supports the findings of the proposed method. The results are further validated through statistical analysis and sensitivity testing, ensuring their robustness and reliability. Overall, this study not only contributes to the scientific understanding of control strategies in aquaponics but also offers practical insights for farmers and aquaponic practitioners. The ultimate goal is to enhance the sustainability and efficiency of aquaponic systems, promoting their adoption and long-term success in sustainable food production.

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Biographies

Debroy Pragnaleena
pragnaleena_rs@ei.nits.ac.in

P. Debroy is a dedicated PhD scholar in the Department of Electronics and Instrumentation Engineering at the National Institute of Technology (NIT) Silchar, Assam, India. She completed her undergraduate studies in Electronics and Instrumentation Engineering (B.Tech) at the National Institute of Technology Agartala, Tripura, India. She then pursued a master of technology (M.Tech) degree in electrical engineering from Tripura University. Currently, she is progressing in her academic journey as a PhD candidate specializing in Control Engineering. Her research interests are diverse and encompass key areas such as aquaponic systems, model predictive control (MPC), multi-criteria decision making (MCDM), industrial process control, and control systems. Pragnaleena Debroy has made notable contributions to these fields, with her research being published in numerous esteemed academic journals. Her work has been featured in prominent journals, including Environmental Science and Pollution Research, Neutrosophic Sets and Systems, and Environmental Progress & Sustainable Energy, among others.

Smarandache Florentin
smarand@unm.edu

F. Smarandache is the founder of neutrosophy, a new branch of philosophy that generalizes dialectics, and has made groundbreaking contributions to various fields including neutrosophic set theory, logic, probability statistics, and neutrosophic physics. He has published hundreds of papers and books on a wide range of topics such as superluminal and instantaneous physics, unmatter, quantum paradoxes, and the absolute theory of relativity. His work also explores phenomena like redshift and blueshift caused by medium gradients and refractive indices, in addition to the Doppler effect. Smarandache’s research extends to several other pioneering concepts, including paradoxism, the oUTER-aRT theory, and the Law of Included Multiple-Middle. He has developed theories around multispace and multistructure, as well as advanced mathematical structures like HyperSoft set, TreeSoft set, IndetermSoft set, and IndetermHyperSoft set. Additionally, he has introduced the SuperHyperGraph, SuperHyperTopology, SuperHyperAlgebra, SuperHyperFunction, and Neutrosophic SuperHyperAlgebra. His other contributions include the Refined Neutrosophic Set, neutrosophic over-under-off-set, plithogenic set/logic/probability/statistics, symbolic plithogenic algebraic structures, neutrosophic triplet, duplet, and quadruple structures, and the extension of algebraic concepts to NeutroAlgebra, AntiAlgebra, NeutroGeometry, AntiGeometry, NeutroTopology, and AntiTopology. Beyond his scientific work, Smarandache has also published books in the fields of poetry, drama, children’s stories, translations, essays, novels, folklore, and art albums. His diverse body of work reflects his wide-ranging intellectual interests and creative talents.

Majumder Priyanka
majumderpriyanka94@yahoo.com

P. Majumder is an associate professor in the Department of Basic Science and Humanities (Mathematics) at Techno College of Engineering, Agartala, India. He earned his Bachelor of Science (BSc) and Master of Science (MSc) degrees in mathematics from I.C.V. College and NIT Agartala, India, respectively. He further pursued a PhD in applied mathematics from NIT Agartala. His research interests span a variety of areas within the field of mathematics, with a particular focus on decision-making processes, soft computing techniques, fuzzy logic, artificial neural networks, and computational intelligence. Throughout his academic career, Dr. Majumder has made significant contributions to these domains, and his research has been published in several prestigious international journals. Notable journals featuring his work include Expert Systems with Applications, International Journal of Energy Research, Optik, Soft Computing, and Neural Computing and Applications, among others. Additionally, he serves as a Reviewer, and Editorial Board Member for several well-regarded international journals.

Majumdar Parijata
er.parijata@gmail.com

P. Majumdar is currently serving as an assistant professor at the Indian Institute of Information Technology (IIIT), Agartala. Prior to this, she held the position of Associate Professor at Techno College of Engineering Agartala. With a strong academic and research background, she has published numerous research papers and patents in esteemed international conferences and journals. Her research interests span a wide range of cutting-edge fields, including artificial intelligence, Internet of Things (IoT), 5G, blockchain, precision agriculture, cloud computing, optimization techniques, image processing, and pattern recognition. With over six years of teaching and research experience at various prestigious institutions across India, she has established herself as an expert in her field. In recognition of her significant contributions to research and development, Parijata Majumdar was honored with the EARG Awards 2024 for Excellence in Research and Development, in association with the Math Tech Thinking Foundation, India. Additionally, she serves as an Expert Speaker, Reviewer, and Editorial Board Member for several well-regarded international journals and conferences.

Seban Lalu
seban@ei.nits.ac.in

L. Seban is an assistant professor in the Department of Electronics and Instrumentation Engineering at the National Institute of Technology (NIT) Silchar, Assam, India. He completed his B.Tech in electronics and instrumentation engineering at the College of Engineering Kidangoor, Cochin University of Science & Technology, followed by an M.Tech in the same field at NIT Trichy. He earned his PhD from the Department of Electrical Engineering at NIT Silchar, successfully defending his thesis. His research interests are broad, covering areas such as process modelling, control, and optimization. He also works on the engineering of sustainable food production systems, specifically aquaponics. Additionally, his research includes the theoretical modelling of next-generation solar energy materials and cells, data-driven control systems, and system reliability analysis using statistics and artificial intelligence. Dr. Seban has actively contributed to the academic community, serving as the coordinator for various workshops under TEQIP-III and GIAN programs. He was the organizing chair of the Second International Conference on Emerging Electronics and Automation (E2A 2022) and the joint convener of the 28th National Conference on Condensed Matter Physics – CMDAYS 2020. He also serves as an expert speaker, reviewer, and editorial board member for numerous prestigious international journals and conferences.


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OPA-IF TOPSIS neutrosophic sets aquaponic systems control strategy

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