Fuzzy chance constrained programming

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August undefined, 2024

WebAn Adjustable Fuzzy Chance-Constrained Network DEA Approach with Application to Ranking Investment Firms An Application of Fuzzy DEA … WebDec 31, 2016 · 22) Liu B (2001)Fuzzy random chance-constrained programming. IEEE Transactions on Fuzzy System s 9:713–720. 23) MaqsoodI,Huang GH(2003) A two-stage interval-stochastic programming model for ...

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WebJan 10, 2006 · A fuzzy programming model is first constructed by applying chance constrained programming methodology in fuzzy environment. Then, the model is decomposed on the basis of the tolerance ranges of ... WebIn this study, an interval-fuzzy chance-constrained programming (IFCCP) method is developed for reflecting multiple uncertainties expressed as interval-fuzzy-random (integration of interval values, fuzzy sets, and probability distributions). IFCCP has advantages in uncertainty reflection and policy analysis as well as avoiding complicated ... puikkari kuopio

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WebJul 13, 2024 · An interval fuzzy chance-constrained programming model for sustainable urban land-use planning and land use policy analysis. Land Use Policy, 42(42): 479–491. doi: 10.1016/j.landusepol.2014.09.002. Article Google Scholar Zhou Min, Cai Yunlong, Guan Xingliang et al., 2014. A hybrid inexact optimization model for land-use allocation of China. WebJun 15, 2006 · The employment and development of chance-constrained programming in portfolio analysis with stochastic parameters can be found in , , , , . Following the idea of stochastic chance-constrained programming, Liu developed a spectrum of general forms of fuzzy chance-constrained programming. To the best of the author’s knowledge, … WebAug 9, 2005 · This paper uses genetic algorithm to solve the series redundancy optimization problem which is in fuzzy framework. An nonlinear chance constrained programming with fuzzy coefficients occurring in obj puikkari pudasjärvi

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WebAbstract: In this article, the issue of multicenter and single-area humanitarian relief allocation with uncertain travel time and imprecise transportation information is investigated. Expert human knowledge using fuzzy control is employed to select rescue paths, and the considered problem is formulated as a fuzzy chance-constrained model … WebJun 1, 2014 · Mehlawat and Gupta [25] addressed fuzzy portfolio selection problem from a perspective of chance constrained multiobjective programming. Deng and Li [26] proposed a biobjective nonlinear portfolio ... puikkarintie 20 kuopioWebFeb 5, 2024 · Then this research integrated the theory of stochastic programming and fuzzy mathematical programming and employed Monte Carlo simulation; the sample mean approximation, chance-constrained programming and fuzzy expectation to deal with the random parameters and fuzzy parameters in the model so that the uncertain model is … puikkarintie 49

"WebApr 1, 2024 · To the best of our knowledge, the current study is pioneering as it introduces a new fuzzy chance-constrained two-stage method that can be used to undertake the deterministic non-fuzzy programming ... " - Fuzzy chance constrained programming

Fuzzy chance constrained programming

Fuzzy-Control-Based Chance-Constrained Programming for …

WebMay 1, 2015 · PDF In this paper, the problem of low probability of Identification (LPID) improvement for radar network systems is investigated. Firstly, the... Find, read and cite all the research you need ... WebIn this study, DDCCP model were formulated and solved based on stochastic and fuzzy chance-constrained programming techniques, leading to optimal solutions under different levels of constraints violation and satisfaction reliabilities. A long-term solid waste management problem was used to demonstrate the feasibility and applicability of DDCCP ...

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WebJan 1, 2024 · Guo et al. have presented an inexact fuzzy chance-constrained nonlinear programming (IFCCNP) method for agricultural water resources management to tackle various uncertainties. The model results obtained are helpful for decision makers to deliver insight for tradeoffs related to environmental, economic and system-reliability policy. WebWhat is Chance Constrained Programming. 1. In a stochastic programming approach, certain probability as a chance factor is introduced to an objective and / or a system …

WebIn model formulation process the fuzzy chance constrained programming model is converted into its equivalent fuzzy programming using probabilistic technique, a-cut of fuzzy numbers and taking expectation of parameters of the objectives. Defuzzification technique of fuzzy numbers is used to find multiobjective linear programming model. WebApr 15, 2024 · In this paper, a fuzzy chance-constrained programming model is used. In general, the fuzzy chance-constrained programming approach is based on strong mathematical concepts (Liu and Liu, 2002, Khishtandar, 2024). For example, the expected value of a fuzzy number and its credibility can support a variety of fuzzy numbers, …

WebNov 1, 2001 · This paper presents a new concept of chance of fuzzy random events, and constructs a general framework of fuzzy random chance-constrained programming. We also design a spectrum of fuzzy random ... WebTwo-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties (76 citations) What are the main themes of his work throughout his whole career to date? Ping Guo mainly investigates Mathematical optimization, Water resources, Stochastic programming, Irrigation and Farm water. His …

WebThe results also show that the total cost under T2FCCP is about 5% lower than that under fuzzy chance-constrained programming (FCCP) and about 17% lower than that under chance-constrained programming (CCP). By 2025, the water resources carrying capacity of different tributaries in Lancang County, Puer City will increase, and based on the ...

WebIn this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and total system cost, respectively. The traditional SCCP model required the random … puikkaritie ouluWebApr 1, 2024 · Given a fuzzy GP model, we formulate three variants of chance-constrained GP based on the possibility, necessity and credibility approaches and show how they … puikkaritie 1WebThis paper attempts to model capital budgeting problems by chance constrained integer programming in a fuzzy environment (rather than a stochastic environment) and a fuzzy simulation based genetic algorithm is designed for solving chance constrained programming models with fuzzy parameters. Expand puikkohitsaus virheetWebApr 9, 2024 · The fuzzy chance constrained programming theory and multi-stage robust optimization are used to transform the uncertainty problem, and the BA and CPLEX are utilized to solve the problem. Finally, the following conclusions are verified in the IEEE33 node system: (1) puikkohitsauskone puikkohitsaus generaattoriWebHowever, the chance-constrained programming has been developed to solve these problems and proved to be one of the most effective methods. In the approach, the fuzzy constraint should be maintained under the assumption of predetermined credibility level to achieve the appropriate safety margin provided. puikkohitsaus invertteritWebNov 25, 2024 · Abstract: Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow (OPF) for wind integrated power systems. The proposed method is based on random-fuzzy chance-constrained programming. The optimization model aims at … puikkohitsauskone käyttöohje