Suchergebnisse - robust fuzzy chance constraint programming

Robust Fuzzy chance constraint programming for multi-item EOQ model with random disruption and partial backordering under uncertainty von Khalilpourazari, Soheyl, Teimoori, Shima, Mirzazadeh, Abolfazl, Pasandideh, Seyed Hamid Reza, Ghanbar Tehrani, Nasim

“… : Basic Chance Constraint Programming and Robust Fuzzy Chance Constraint programming are used to handle uncertain parameters …”
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A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process von Khalilpourazari, Soheyl, Mirzazadeh, Abolfazl, Weber, Gerhard-Wilhelm, Pasandideh, Seyed Hamid Reza

“… Since, in real-world applications, parameters of the mathematical formulation are due to uncertainty, in this paper, Basic Chance Constraint Programming and Robust Fuzzy Chance Constraint Programming …”
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Optimization under uncertainty: state-of-the-art and opportunities von Sahinidis, Nikolaos V.

“… A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in …”
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Interval Fuzzy Robust Dynamic Programming for Nonrenewable Energy Resources Management with Chance Constraints von Nie, X. H., Huang, G. H., Li, Y. P., Liu, L.

“… This study introduces a chance constrained interval fuzzy robust dynamic programming (CCIFRDP …”
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A five-phase combinatorial approach for solving a fuzzy linear programming supply chain production planning problem von Sutthibutr, Noppasorn, Chiadamrong, Navee, Hiraishi, Kunihiko, Thajchayapong, Suttipong

“… ) in planning an efficient SCPP. To tackle SCPP problems, a five-phase combinatorial approach is proposed to overcome not only these two main obstacles but also several weak points of traditional Fuzzy Linear Programming (FLP …”
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Robust fuzzy programming for designing a closed-loop supply chain under uncertainty and flexible constraints von Hosseini Dehshiri, Seyyed Jalaladdin, Amiri, Maghsoud

“… •Using the interactive fuzzy programming approach to solve the multi-objective model.•Offering robust and flexible solutions and trade-offs between goals and risk levels …”
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A novel group decision-making method by P-robust fuzzy DEA credibility constraint for welding process selection von Wardana, Rahmad Wisnu, Masudin, Ilyas, Restuputri, Dian Palupi

“… ) are proposed to select the welding process for repairing the shredder hammer. The p-robust technique has regret value to control relative regret of data, and fuzzy credibility constraint programming has confidence level to satisfy chance constraints …”
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Research on Cooperative Operation Optimization of Nash-Stackelberg Game in Multiple Virtual Power Plants under Multiple Uncertainties von Dong, Lei, Zhang, Shuaibo, Li, Yang, Wang, Zibo, Zhang, Binwen, Zhu, Hong, Ji, Wenlu

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Kullback–Leibler Divergence-Based Distributionally Robust Chance-Constrained Programming for PV Hosting Capacity Assessment in Distribution Networks von Shen, Chao, Liu, Haoming, Wang, Jian, Yang, Zhihao, Hai, Chen

“… To overcome these limitations, this paper proposes a novel distributionally robust chance-constrained (DRCC …”
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A multi-objective robust possibilistic programming approach to sustainable public transportation network design von Günay, Elif Elçin, Okudan Kremer, Gül E., Zarindast, Atousa

“… and uncertainty in demand, a multi-objective robust possibilistic programming approach (RPP⁎) is proposed and solved by using an interactive fuzzy …”
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Robust cross-dock assignment problem with fuzzy chance constrained optimization approach von Altaf, Amna, El Amraoui, Adnen, Delmotte, Francois, Lecoutre, Christophe

“… This uncertainty is managed using Fuzzy Chance Constraint Optimization (FCCO) with triangular fuzzy numbers, which adapts to uncertain environments by applying possibility and necessity measures. Two variables, π and ϕ …”
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A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry von Talaei, Mohammad, Farhang Moghaddam, Babak, Pishvaee, Mir Saman, Bozorgi-Amiri, Ali, Gholamnejad, Sepideh

“… and collection/inspection centers as well as disposal center and markets. To design the network, we have proposed a mixed-integer linear programming model capable of reducing the network total costs …”
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A robust critical path in an environment with hybrid uncertainty von Sadjadi, Seyed Jafar, Pourmoayed, Reza, Aryanezhad, M.B.

“… To obtain a robust critical path with this kind of uncertainty a chance constraints programming model is used …”
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A Distributionally Robust Bi-Level Multi-Objective Decision Making Method Under Hybrid Uncertainty von Wang, Xindi, Ma, Jing, Qin, Yong

“… This paper introduces a novel bi-level multi-objective optimization framework designed for decision-making under hybrid uncertainty, where system constraints account for both intuitionistic fuzzy sets …”
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Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs von Essghaier, Fatma, Chargui, Tarik, Hsu, Tiente, Bekrar, Abdelghani, Allaoui, Hamid, Trentesaux, Damien, Goncalves, Gilles

“… Our proposed approach defines a Multi-Objective Mixed-Integer Programming model (FMO-MIP) that incorporates fuzzy chance-constrained programming and ϵ …”
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Mixed robust possibilistic flexible chance constraint optimization model for emergency blood supply chain network design von Fazli-Khalaf, Mohamadreza, Khalilpourazari, Soheyl, Mohammadi, Mohammad

“… Since, most of the main parameters of the mathematical model are tainted with uncertainty in real-world applications, two robust possibilistic flexible chance constraint programming (RPFCCP …”
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Uncertain Multi-Criteria Optimization Problems

“… Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic …”
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Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization von Lin, Feifan, Zhou, Xiaojun, Li, Chaojie, Huang, Tingwen, Yang, Chunhua

“… Fuzzy chance-constrained dynamic programming are applicable to industrial production modeling accompanied by fuzzy uncertainty and dynamics, where constraints need not or cannot be completely satisfied …”
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Provide a reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of feasibility-robust planning von Alireza Hamidieh, Maryam Besharat Meymandi

“… Therefore, balancing the complexity of the issue and the uncertainty with the constraints on aid scheduling and resource management is critical …”
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A fuzzy-stochastic robust programming model for regional air quality management under uncertainty von Liu, L., Huang, G. H., Liu, Y., Fuller, G. A., Zeng, G. M.

“… As an extension of the existing fuzzy-robust programming and chance-constrained programming methods, FSRP can explicitly address complexities and uncertainties without unrealistic simplifications …”
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