Related references
Note: Only part of the references are listed.
Article
Environmental Sciences
Qi Pan et al.
Summary: This study presents an IMFICNP model for solving the problem of allocation of agricultural and ecological water, which can handle conflicts of multiple objectives and uncertainties and generate optimal water allocation schemes. The model combines interval parameter programming, multi-objective programming, and fuzzy-interval credibility-constrained programming.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Operations Research & Management Science
Firoz Ahmad
Summary: Multiobjective optimization problems play a significant role in modeling and optimizing real-life issues, and neutrosophic optimization models have been proposed in a neutrosophic fuzzy environment. Sensitivity analysis has been performed on the obtained outcomes, and conclusions as well as future research scope have been effectively depicted.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Sajida Kousar et al.
Summary: In this study, the concept of spherical fuzzy optimization models is extended by considering symmetric and asymmetric spherical numbers. Eight models of spherical fuzzy linear programming are discussed, and the postoptimal analysis of the best models is conducted.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Environmental Sciences
Z. Gao et al.
Summary: This study proposed an implementation framework for the synchronization optimization of Green Infrastructure (GI) and Gray Drainage Facility (GDF) and verified its effectiveness in stormwater management based on data from Beilin District in Xi'an. It demonstrated that the design could effectively cope with the impact of future climate change and support decision-making for urban stormwater management and sponge city construction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Wencong Yue et al.
Summary: The study proposes an integrated approach for water resource allocation under changing climatic conditions by incorporating copula functions and a Markov Chain Monte Carlo (MCMC) simulation into a chance-constrained programming (CCP) model. The approach allows for the analysis of rainfall-runoff relationships and fluctuations in ecological water requirements (EWRs) under climate change, and the development of suitable water allocation strategies.
WATER RESOURCES MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Suizhi Luo et al.
Summary: The study introduces new multilevel programming approaches by defining various membership functions and interactive methods to obtain satisfactory solutions and achieve mutual benefits. A case study on pricing decisions for data products was conducted, exploring the impacts of key parameters. Results show that the proposed methods can provide sound solutions, adhere to multilevel programming rules, and guide the pricing of satellite image data products.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2022)
Article
Environmental Sciences
Ning Hao et al.
Summary: This study introduces a fuzzy optimization method into the Tingjiang River water resources optimal allocation and eco-compensation mechanism model, aiming to improve economic benefits and decision-making accuracy. The results show that the fuzzy method has advantages in considering uncertainty and meeting the needs of various sectors.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Health Care Sciences & Services
Ibrahim M. Hezam et al.
Summary: This study develops neutrosophic goal programming models for sustainable resource planning in healthcare organizations. The models aim to draw a strategic plan and long-term vision, evaluate service performance, and establish an optimal plan to meet growing patient needs. The simplicity and feasibility of the proposed models are validated using real data, indicating their value for planners in providing necessary resources.
JOURNAL OF HEALTHCARE ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Ahteshamul Haq et al.
Summary: This study presents an optimization model for India's socio-economic and environmental goals based on the concept of neutrosophic programming (NP), showing that the model can partially achieve satisfaction in GDP, electricity consumption, and greenhouse gas emission-related goals. It provides guidance for policymakers in working towards India's vision 2030.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Computer Science, Artificial Intelligence
Tipu Sultan Haque et al.
Summary: The researchers extensively apply the theory of vagueness and multi-criteria group decision making (MCGDM) techniques in various fields, with a recent focus on trapezoidal neutrosophic number (TNN) due to its ability to handle vagueness and uncertainty. New logarithmic operational laws of TNN have been derived and established, introducing logarithmic trapezoidal neutrosophic weighted arithmetic and geometric aggregation operators. A new MCGDM approach has been successfully demonstrated using these techniques, with stability and reliability shown through sensitivity analysis and comparative analysis with existing methods.
APPLIED INTELLIGENCE
(2022)
Article
Engineering, Civil
Shanshan Guo et al.
Summary: Sustainable agricultural development encompasses various aspects of agricultural production, including the water-food-energy nexus, while considering the impact of agricultural activities on society, economy, and ecology. Multi-objective optimization models are crucial for balancing the interests of stakeholders. In this study, a distributed multi-objective uncertain optimization model was developed to address the challenges faced by agricultural sustainability. A novel robust solution method was proposed to handle stochastic and fuzzy uncertainties effectively. The case study demonstrated the practical application and provided insights for managers regarding agricultural sustainable development.
JOURNAL OF HYDROLOGY
(2022)
Article
Said Broumi et al.
Operational Research in Engineering Sciences: Theory and Applications
(2022)
Article
Computer Science, Artificial Intelligence
Liangliang Jin et al.
Summary: This research focuses on the modeling and optimization method of the IPPS problem with uncertain processing times, introducing neutrosophic set to model uncertain processing times and developing an improved TLBO algorithm for robust scheduling schemes. Computational results show competitive solutions with smaller score values, indicating better performance compared to other algorithms.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Water Resources
Amin Jamshidpey et al.
Summary: This study utilizes simulation-optimization methods to optimize irrigation water allocation and cultivation areas in the Borkhar plain in Iran, using a network flow programming model and grey wolf optimization algorithm. Results show that under different climate change scenarios, agricultural net benefits and cultivation areas in the plain would decrease, indicating the need for appropriate management policies to adapt to future circumstances.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2021)
Article
Environmental Sciences
Firoz Ahmad et al.
Summary: This study explores an interconnected and dynamic EFWS nexus optimization model considering social, economic, and environmental goals, with a focus on optimal energy supply, electricity conversion, food production, water allocation, and CO2 emissions control. The use of interactive neutrosophic programming approach (INPA) to solve the EFWS nexus model is validated through a computational study, showing its reliability and effectiveness for real-world applications.
Article
Engineering, Civil
Chongfeng Ren et al.
Summary: This paper developed an improved interval multi-objective programming method to address the optimization allocation of irrigation water resources with multiple objectives and uncertainties, and applied it to a case study in Jinghuiqu irrigation district, China. The study found that water shortage negatively impacts the development of the district, and remaining water resources are preferentially allocated to vegetable crops over wheat, resulting in higher economic benefits and lower energy consumption. By introducing effective precipitation, significant water savings were achieved, and decision-makers can obtain optimal schemes based on the model results.
JOURNAL OF HYDROLOGY
(2021)
Article
Green & Sustainable Science & Technology
Abbas Ali Chandio et al.
Summary: The study found that global climate change has a negative impact on cereal production in Pakistan, while financial development and technical progress have positive effects. Increasing financial development and advancing technological progress are crucial for ensuring food security in Pakistan.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Firoz Ahmad
Summary: This study presents a modeling approach for multiobjective optimization problems in an intuitionistic fuzzy environment, and introduces a novel interactive neutrosophic programming method with various membership functions for objective evaluation. The performance of the proposed solution approach is demonstrated through numerical examples, and a case study on cloud computing pricing problem reveals real-life applications and practical implications efficiently.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Muhammad Touqeer et al.
Summary: Neutrosophic sets and interval-valued fuzzy sets are used to represent uncertainty and vagueness in real-world problems. A technique has been developed to solve linear programming network problems with constraints involving interval-valued neutrosophic numbers, successfully applied to an energy scheduling problem and potentially adaptable to other scenarios.
OPTIMIZATION AND ENGINEERING
(2021)
Article
Mathematics
Qing Wang et al.
Summary: Linear programming is commonly used in operational research, but may face challenges in obtaining optimal solutions. To address this, neutrosophic set theory is introduced to handle real-world scenarios, specifically proposing a method for solving multiobjective LP problems with triangular neutrosophic numbers.
JOURNAL OF MATHEMATICS
(2021)
Article
Water Resources
Congcong Li et al.
Summary: The study developed an integrated simulation-optimization modeling system to assess adaptive strategies in response to the impacts of climate and landuse variations. A case study showed increasing trends of temperature and precipitation in the future, with streamflow variation being more sensitive to climate change.
ADVANCES IN WATER RESOURCES
(2021)
Article
Mathematics, Interdisciplinary Applications
C. Veeramani et al.
Summary: This study presents a solution methodology for the multiobjective fractional transportation problem, using a neutrosophic goal programming approach to obtain the optimal compromise solution. Real-world and numerical examples are used to demonstrate the efficacy and superiority of the proposed method in solving complex transportation problems.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2021)
Article
Multidisciplinary Sciences
G. M. Wali Ullah et al.
Summary: The study introduces an efficient multi-objective constrained optimization model for water allocation, emphasizing the importance of cultivating more profitable crops and the significant impact of rainfall on net return and environmental flow deficit compared to water inflow.
Article
Operations Research & Management Science
Firoz Ahmad et al.
Summary: This study introduces a novel algorithm for solving multi-level multiobjective fractional programming problems using neutrosophic fuzzy sets. It assumes coefficients in each objective function as rough intervals, transforms objective functions into two sub-problems, achieves marginal evaluation of pre-determined neutrosophic fuzzy goals with different membership functions, and proposes a neutrosophic fuzzy goal programming algorithm to obtain optimal solutions for decision-makers. A numerical example is used to validate the proposed techniques in a hierarchical decision-making environment.
RAIRO-OPERATIONS RESEARCH
(2021)
Article
Mathematics, Interdisciplinary Applications
Ankan Bhaumik et al.
Summary: Game theory is crucial in addressing decision-oriented real-life problems, while neutrosophy logic introduces a new degree of uncertainty alongside membership and non-membership degrees. Multi-objective optimization focuses on optimizing multiple objective functions simultaneously, and when combined with game theory problems, can have practical implications in solving real-life issues.
JOURNAL OF DYNAMICS AND GAMES
(2021)
Article
Computer Science, Information Systems
Mohammad Faisal Khan et al.
Summary: This article discussed the multiobjective multiproduct production planning problem for a hardware firm, with the model solved using intuitionistic and neutrosophic programming methods and also addressing situations when product information is vague.
Article
Agronomy
Qiong Yue et al.
AGRICULTURAL WATER MANAGEMENT
(2020)
Article
Computer Science, Artificial Intelligence
Kiran Khatter
Article
Engineering, Civil
Qiong Yue et al.
JOURNAL OF HYDROLOGY
(2020)
Article
Economics
Hamiden Abd El-Wahed Khalifa et al.
CROATIAN OPERATIONAL RESEARCH REVIEW
(2020)
Article
Mathematics
Tuhin Bera et al.
Article
Computer Science, Artificial Intelligence
Sujit Kumar De et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2016)
Article
Computer Science, Artificial Intelligence
Laxminarayan Sahoo et al.
SWARM AND EVOLUTIONARY COMPUTATION
(2014)
Article
Agricultural Engineering
Ching-Pin Tung et al.
PADDY AND WATER ENVIRONMENT
(2009)