Parametric Center-Based Sustainable Modeling of Chennai Water Resource Management Under Bipolar-Fuzzy MCDM Techniques Totan Garai International Journal of Information Technology and Decision Making, 2025 Water recreates an essential role in advancing humanity, and it’s projected to be the most significant resource in the future. Drinking water is a necessary part of our society. Due to inappropriate administration, this city has been infested by a lengthy drinking water shortage. The leading causes of the drinking water shortage are: (i) Rapid urbanization and population growth, (ii) The rising daily water demand, (iii) The steadily falling availability of drinking water per capita. Thus, sustainably managing water resources in the water resources management (WRM) model is essential. Working for sustainable drinking water sources in a city has many factors, like the water supply, and demand and available water. Bearing proper decisions on managing sustainable water resources in Chennai is very tough employment due to many uncertain factors. Multi-criteria decision-making (MCDM) technique can provide a framework for finding sustainable water resources from available water resources in Chennai under various uncertain factors. A bipolar fuzzy (BpF) environment handles water resources’ positive and negative uncertain factors. This study presents a novel MCDM technique based on a parametric center under a BpF environment. First, we give the parametric center of BpF numbers and the ranking method of BpF numbers. Subsequently, the build-up of a new idea to manage the Chennai WRM model using the BpF MCDM technique. Sometimes the alternative (water sources) information on the WRM model is uncertain and has bipolar characteristics. Through the BpF concept, we can efficiently bear the bipolar (positive and negative) aspects and uncertainties of the WRM model. Numerically, we have exercised the Chennai WRM model with BpF information. A comparison analysis shows the benefit of our MCDM method for solving a Chennai WRM model. This paper’s introductory objective is to find sustainable water resources in Chennai city from available water sources under certain fortunate circumstances.
Spade possibilistic mean-based hexagonal fuzzy MCDM technique for solid waste management problem Totan Garai International Conference on Fuzzy Theory and Its Applications Ifuzzy, 2025 The issue of solid waste management (SWM) has gained significant attraction since the beginning of the twentyfirst century. Due to the huge population growth, solid waste generation is increasing daily. Poor management techniques of solid waste harm society, resulting in significant health risks, environmental contamination and financial deterioration. The primary goal of this study is to develop an multi-criteria decision making (MCDM) technique to solve the SWM problem in Kolkata city. Thus, we developed an MCDM technique in this investigation based on a spade possibilistic mean under an asymmetry hexagonal fuzzy environment. Based on the spade possibilistic mean MCDM technique, we have solved the Kolkata SWM problem numerically under the AHF environment. According to the direction, academics, environmentalists, and politicians will likely continue to study it. KMC solid waste management problem is solved using the spade possibilistic meanbased MCDM technique. Sometimes, the alternative information is vague; therefore, alternative information is considered an AHF environment. We consider four alternatives (various SW management techniques) and three criteria. Based on three criteria, our target is to find the best SW management technique from the available SW management techniques in KMC.
Expected value of generalized trapezoidal bipolar fuzzy number to solve a multi-item marketing planning inventory model with allowable shortages Sourav Kumar Giri, Totan Garai, Sahidul Islam Franklin Open, 2024 Decision makers often grapple with the complexity of multi-faceted real-life problems, where uncertainty arises from both positive and negative states of mind. This duality reflects the decision maker’s optimistic and pessimistic perspectives during the decision-making process. To address this, our paper introduces innovative concepts and frameworks for generalized bipolar trapezoidal fuzzy numbers. We propose novel arithmetic operations on these fuzzy numbers, computing the negative α -cut and positive β -cut methods. Furthermore, we uniquely compute the convex combination of expected values from both the positive and negative membership parts. These theoretical advancements are applied to a practical case study: a multi-item marketing planning inventory model with allowable shortages. Our proposed method’s efficacy is highlighted through detailed numerical illustrations, sensitivity analyses and comparative studies complemented by compelling graphical presentations • Using ( α , β ) cut arithmetic operations of generalized bipolar trapezoidal fuzzy number. • The expected value for both positive and negative membership functions is defined. • A new de-fuzzification technique is developed. • A bipolar fuzzy multi-item inventory model with market prediction is solved.
A possibility-based multi-criteria decision-making approach for artificial recharge structure selection using pentagonal fuzzy numbers George Biswas, Totan Garai, Uttaran Santra Decision Analytics Journal, 2023 Groundwater recharge is crucial in developing groundwater sources in an area for regional growth. One of the essential natural water resources is groundwater, which differs geographically in quality and amount. Groundwater resources are under great strain due to growing urbanization and population growth. Numerous studies have identified groundwater recharge regions using a geographic information system and Multi-Criteria Decision-Making (MCDM). In this study, we have proposed an Multi-Criteria Decision-Making technique for selecting artificial recharge structures in basaltic terrain. The proposed Multi-Criteria Decision-Making technique is built with possibility theory under a pentagonal fuzzy environment. Additionally, we have developed a possibilistic middle of asymmetric linear pentagonal fuzzy (LPF) number. Through the Multi-Criteria Decision-Making technique, we have selected the best artificial recharge structures from the available ones. To show our Multi-Criteria Decision-Making methods feasibility, we have considered one numerical example under a pentagonal fuzzy environment.
The design and evaluation of a picture fuzzy mining safety system with picture fuzzy differential equations Debapriya Mondal, Totan Garai, Gopal Chandra Roy, Shariful Alam Decision Analytics Journal, 2023 The mining industry continues to play a significant role in developing the economy in developing countries. The need for minerals influences the magnitude of the mining industry, and safety concerns have taken on considerable importance in this sector. Equipment failure and breakdown will severely disrupt production and cause accidents for the mining workers. Most safety studies in the mining industry consider deterministic models with crisp parameters. This study addresses safety in the mining industry under uncertainty and fuzziness. We present a picture fuzzy mining safety system with picture fuzzy differential equations. We examine and discuss the solutions to a mining safety model using triangular picture fuzzy numbers. We further study the shutdown probability at the mining system in safe and unsafe modes.
A multi-objective generalized intuitionistic fuzzy linear fractional inventory model with possibility and necessity constraints Proceedings of the International Conference on Industrial Engineering and Operations Management, 2019
MCGDM Using Generalized-Spherical Fuzzy VIKOR Technique for Sustainable and Optimal Foundation Crop Seed Selection in Agriculture H Mondal, T Garai, TS Haque, S Alam Transactions on Fuzzy Sets and Systems 10 (2), 190 , 2026 2026
Industrial Waste Management Planning Evaluation Using Integrated Best-Worst Technique With Fuzzy TOPSIS H Mondal, T Garai, O Oliveira, S Alam Decision Making Advances, 1-21 , 2026 2026
A -Cut-Based MCDM Technique for Assessment of Biomedical Waste Management Under Generalized Heptagonal Fuzzy Environment T Garai, C Kahraman, XH Pan International Journal of Fuzzy Systems, 1-17 , 2026 2026
Parametric center-based sustainable modeling of chennai water resource management under bipolar-fuzzy mcdm techniques T Garai International Journal of Information Technology & Decision Making (IJITDM … , 2026 2026 Citations: 1
Spade Possibilistic Mean-Based Hexagonal Fuzzy MCDM Technique for Solid Waste Management Problem T Garai 2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY … , 2025 2025
Describing a Logistic Model for the Generation of Methane from Coal through the Interval Fuzzy Numbers D Mondal, T Garai, GC Roy, S Alam Operations Research Forum 6 (3), 114 , 2025 2025
Bipolar Expected Value-Based MCDM Technique on Wastewater Management under Trapezoidal Bipolar Fuzzy Environment T Garai Journal of Intelligent Systems in Current Computer Engineering 3 (1 … , 2025 2025 Citations: 5
Evaluating the nuclear power plant safety system under neutrosophic environment D Mondal, T Garai, GC Roy, S Alam Neutrosophic Sets and Systems 72, 286-303 , 2024 2024 Citations: 5
MCDM method for managing the water resources based on possibility theory under bipolar fuzzy environment T Garai, G Biswas, U Santra, SK Giri Journal of Intelligent Systems in Current Computer Engineering , 2024 2024 Citations: 3
Expected value of generalized trapezoidal bipolar fuzzy number to solve a multi-item marketing planning inventory model with allowable shortages SK Giri, T Garai, S Islam Franklin Open 8, 100164 , 2024 2024 Citations: 5
λ-possibility-center based MCDM technique on the control of Ganga river pollution under non-linear pentagonal fuzzy environment T Garai Journal of Ambient Intelligence and Humanized Computing, 1-11 , 2024 2024 Citations: 7
A possibility-based multi-criteria decision-making approach for artificial recharge structure selection using pentagonal fuzzy numbers G Biswas, T Garai, U Santra Decision Analytics Journal 9, 100365 , 2023 2023 Citations: 17
The design and evaluation of a picture fuzzy mining safety system with picture fuzzy differential equations D Mondal, T Garai, GC Roy, S Alam Decision Analytics Journal 9, 100322 , 2023 2023 Citations: 10
Possibilistic index-based multi-criteria decision-making with an unknown weight of air pollution model under bipolar fuzzy environment T Garai, H Garg, G Biswas Soft Computing 27 (23), 17991-18009 , 2023 2023 Citations: 27
A fraction ranking-based multi-criteria decision-making method for water resource management under bipolar neutrosophic fuzzy environment T Garai, H Garg, G Biswas Artificial Intelligence Review 56 (12), 14865-14906 , 2023 2023 Citations: 38
An interpreter ranking index-based MCDM technique for COVID-19 treatments under a bipolar fuzzy environment T Garai, H Garg Results in Control and Optimization 12, 100242 , 2023 2023 Citations: 21
Ranking method of the generalized intuitionistic fuzzy numbers founded on possibility measures and its application to MADM problem T Garai Advances in Computational Intelligence 3 (4), 14 , 2023 2023 Citations: 4
Application of a fuzzy differential equation system to the oil and gas industry safety model D Mondal, T Garai, GC Roy, S Alam International Journal of Information Technology 15 (3), 1243-1253 , 2023 2023 Citations: 17
The effect of supply disruption in a two-layer supply chain with one retailer and two suppliers with promotional effort under random demand T Garai, A Paul Journal of Management Analytics 10 (1), 22-37 , 2023 2023 Citations: 12
Sustainable supply chain coordination with greening and promotional effort dependent demand A Paul, T Garai, BC Giri International Journal of Procurement Management 16 (2), 196-233 , 2023 2023 Citations: 14
MOST CITED SCHOLAR PUBLICATIONS
Fully fuzzy inventory model with price-dependent demand and time varying holding cost under fuzzy decision variables T Garai, D Chakraborty, TK Roy Journal of Intelligent & Fuzzy Systems 36 (4), 3725-3738 , 2019 2019 Citations: 52
A ranking method based on possibility mean for multi-attribute decision making with single valued neutrosophic numbers T Garai, H Garg, TK Roy Journal of Ambient Intelligence and Humanized Computing 11 (11), 5245-5258 , 2020 2020 Citations: 50
Multi-criteria decision making of water resource management problem (in Agriculture field, Purulia district) based on possibility measures under generalized single valued non … T Garai, H Garg Expert Systems with Applications 205, 117715 , 2022 2022 Citations: 47
Possibilistic multiattribute decision making for water resource management problem under single‐valued bipolar neutrosophic environment T Garai, H Garg International journal of intelligent systems 37 (8), 5031-5058 , 2022 2022 Citations: 45
Possibility mean, variance and standard deviation of single-valued neutrosophic numbers and its applications to multi-attribute decision-making problems: T. Garai et al. T Garai, S Dalapati, H Garg, TK Roy Soft Computing 24 (24), 18795-18809 , 2020 2020 Citations: 44
Multi‐objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment T Garai, H Garg CAAI Transactions on Intelligence Technology 4 (3), 175-181 , 2019 2019 Citations: 43
Possibilistic mean of generalized non-linear intuitionistic fuzzy number to solve a price and quality dependent demand multi-item inventory model SK Giri, T Garai, H Garg, S Islam Computational and applied Mathematics 40 (4), 110 , 2021 2021 Citations: 41
Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment T Garai, H Garg Expert Systems with Applications 208, 118160 , 2022 2022 Citations: 40
A fraction ranking-based multi-criteria decision-making method for water resource management under bipolar neutrosophic fuzzy environment T Garai, H Garg, G Biswas Artificial Intelligence Review 56 (12), 14865-14906 , 2023 2023 Citations: 38
A multi-item generalized intuitionistic fuzzy inventory model with inventory level dependent demand using possibility mean, variance and covariance T Garai, D Chakraborty, TK Roy Journal of Intelligent & Fuzzy Systems, 1-16 , 2018 2018 Citations: 33
A three-layer supply chain inventory model for non-instantaneous deteriorating item with inflation and delay in payments in random fuzzy environment D Chakraborty, T Garai, DK Jana, TK Roy Journal of Industrial and Production Engineering 34 (6), 407-424 , 2017 2017 Citations: 33
Possibility–necessity–credibility measures on generalized intuitionistic fuzzy number and their applications to multi-product manufacturing system T Garai, D Chakraborty, TK Roy Granular Computing 3 (4), 285-299 , 2018 2018 Citations: 30
A fuzzy rough multi-objective multi-item inventory model with both stock-dependent demand and holding cost rate T Garai, D Chakraborty, TK Roy Granular Computing 4 (1), 71-88 , 2019 2019 Citations: 29
Expected value of exponential fuzzy number and its application to multi-item deterministic inventory model for deteriorating items T Garai, D Chakraborty, TK Roy Journal of Uncertainty Analysis and Applications 5 (1), 8 , 2017 2017 Citations: 28
Possibilistic index-based multi-criteria decision-making with an unknown weight of air pollution model under bipolar fuzzy environment T Garai, H Garg, G Biswas Soft Computing 27 (23), 17991-18009 , 2023 2023 Citations: 27
A novel ranking method of the generalized intuitionistic fuzzy numbers based on possibility measures T Garai International conference on intelligent and fuzzy systems, 20-27 , 2021 2021 Citations: 23
A multi-item periodic review probabilistic fuzzy inventory model with possibility and necessity constraints T Garai, D Chakraborty, TK Roy International Journal of Business Forecasting and Marketing Intelligence 2 … , 2016 2016 Citations: 22
An interpreter ranking index-based MCDM technique for COVID-19 treatments under a bipolar fuzzy environment T Garai, H Garg Results in Control and Optimization 12, 100242 , 2023 2023 Citations: 21
Multi-objective inventory model with both stock-dependent demand rate and holding cost rate under fuzzy random environment T Garai, D Chakraborty, TK Roy Annals of data science 6 (1), 61-81 , 2019 2019 Citations: 21
A possibility-based multi-criteria decision-making approach for artificial recharge structure selection using pentagonal fuzzy numbers G Biswas, T Garai, U Santra Decision Analytics Journal 9, 100365 , 2023 2023 Citations: 17