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Planning energy economy and eco-environment nexus system under uncertainty: A copula-based stochastic multi-level programming method

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APPLIED ENERGY 2022年 312卷 118736-118736页

作者： Lv, J. Li, Y. P. Huang, G. H. Ding, Y. K. Li, X. Li, Y. North China Elect Power Univ Sino Canada Energy & Environm Res Ctr Beijing 102206 Peoples R China Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China Univ Regina Inst Energy Environm & Sustainable Communities Regina SK S4S 0A2 Canada

Energy consumption, economic growth, and eco-environment protection of urban agglomeration is full of contradictions and continues to be challenges faced by decision makers. It is desired to develop effective methods to realize coordinated management of energy economy and eco-environment nexus (EEEN) system. In this study, a copula-based stochastic multi-level programming (CSMP) approach is first developed, where the conflicting objectives with multiple hierarchical levels and the uncertainty presented as random variables with different probability distributions can be tackled. CSMP can also reflect the complex interactions among random variables and examine the risk of violating joint-probabilistic constraints. The CSMP is then applied to planning EEEN system of Pearl River Delta (PRD) urban agglomeration (China) during the period of 2021-2035. Six scenarios based on joint and individual risk levels for violating energy consumption and GDP constraints are analyzed. Results reveal that the share of tertiary industry and high-tech industry would attain to 62.4% and 14.9% by 2035, the energy and CO2 intensity would decrease by 45.1% and 56.9%, and ecological land would expand to absorb more CO2, indicating that EEEN system would develop towards energy saving, economy and ecoenvironment friendly pattern. Results also disclose that decisions at high risk level would lead to high GDP, energy consumption and CO2 emissions, occupy ecological land and reduce CO2 absorption, and reduce the reliability of fulfilling system requirements.

关键词： Copula EEEN Joint risk multi-level programming PRD urban agglomeration Uncertainty

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Location Model of Distribution Centers in Poverty-Stricken Areas Based on multi-level Fuzzy programming 13th

Location Model of Distribution Centers in Poverty-Stricken A...

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13th International Conference on Management Science and Engineering Management (ICMSEM)

作者： Hu, Zhineng Zheng, Shuangyi Feng, Qiong Tang, Dunzhe Sichuan Univ Sch Business Chengdu 610065 Peoples R China Tsinghua Univ Sch Econ & Management Beijing 100084 Peoples R China

ISBN: (纸本)9783030212483;9783030212476

This paper discusses the necessity of building agricultural product distribution centers in poverty-stricken areas in order to solve the deficiencies in current E-commerce Poverty Alleviation logistics and distribution. With consideration of existing site selection planning research, the hierarchical and alternative points of decision-making during the construction of the gathering center, the suitability of standby sites and uncertainty of agricultural products, we try to build a multi-level planning model and solve for the optimum solution through interactive fuzzy programming method. In addition, through specific case analysis, we verify the rationality and feasibility of our model. Consequently, our model is more reflective than the single-level model and the determined model, and allows us to achieve an aggregate welfare level that is closer to the optimal.

关键词： multi-level programming Interactive fuzzy programming Method Poverty-stricken areas Distribution center Location

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Integrating reference point, Kuhn-Tucker conditions and neural network approach for multi-objective and multi-level programming problems

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OPSEARCH 2017年第4期54卷 663-683页

作者： Rizk-Allah, R. M. Abo-Sinna, Mahmoud A. Menoufia Univ Dept Basic Engn Sci Fac Engn Shibin Al Kawm Egypt Princess Nora Bent AbdulRahman Univ Dept Math Sci Fac Sci Riyadh Saudi Arabia

In this paper, a neural network approach is constructed to solve multi-objective programming problem (MOPP) and multi-level programming problem (MLPP). The main idea is to convert the MOPP and the MLPP into an equivalent convex optimization problem. A neural network approach is then constructed for solving the obtained convex programming problem. Based on employing Lyapunov theory, the proposed neural network approach is stable in the sense of Lyapunov and it is globally convergent to an exact optimal solution of the MOPP and the MLPP. The simulation results also demonstrate that the proposed neural network is feasible and efficient.

关键词： Karush-Kuhn-Tucker conditions multi-level programming multi-objective programming Neural network Asymptotic stability

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A modified fuzzy approach for the fully fuzzy multi-objective and multi-level integer quadratic programming problems based on a decomposition technique

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年第2期37卷 2727-2739页

作者： Fathy, E. Helwan Univ Fac Sci Dept Math Cairo Egypt

This paper focuses on extending and applying a fuzzy approach for utilization with the fully fuzzy multi-objective and multi-level integer quadratic programming (FFMMQP) problems. First, the decomposition technique is used to convert the fuzzy problem for each level into three crisp multi-objective integer quadratic (MQP) problems namely, Middle-MQP, Upper-MQP and Lower-MQP problem. Each crisp problem has its own variables. Furthermore, the functions of each problem have several quadratic functions. Then by considering the individual solution of each objective function, the middle, upper and lower membership functions are constructed. Second, the concept of the tolerance membership function and multi-objective optimization in the decomposition form is used to establish decomposed Tchebycheff problems to achieve the Pareto optimal fuzzy solution for the FFMMQP problems. An example is provided to prove the theoretical results.

关键词： Fully fuzzy programming multi-level programming multi-objective programming quadratic programming fuzzy approach

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A Variation-Aware CMOS Platform for multi-level Memristor Characterisation 13

A Variation-Aware CMOS Platform for Multi-Level Memristor Ch...

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13th International Conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Xie, Lijie Feng, Peilong Mifsud, Andrea Nassibi, Amir Papavassiliou, Christos Imperial Coll London Dept Elect & Elect Engn London SW7 2BT England

ISBN: (纸本)9798350385434;9798350385427

Memristors could be potentially used in both multibit data storage and analogue computation, thanks to their programmable resistance. However, there are three common practical challenges to programme memristors to multiple resistive levels. First, the programmed resistance is unstable due to the device's intrinsic randomness and relaxation. Second, the memristor's transient resistive response to external stimuli is stochastic. Third, programming is unachievable if the target level is beyond the memristor's operational region. To overcome these challenges, this work proposes a novel characterisation methodology, which could implement multi-level memristor programming by experimentally identifying the memristor's multilevel capability and then determining the corresponding resistance ranges to accommodate its non-idealities. To automate the proposed methodology, a mixed-signal CMOS system is proposed. It mitigates device variations by providing flexibility for reconfiguring pulsing schemes. Furthermore, it provides up to 4.9V voltage pulses and enhanced reading accuracy for a wide-range resistive load (2k Omega to 5M Omega).

关键词： memristor multi-level programming closed-loop characterisation

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Architecting a fully fuzzy information model for multi-level quadratically constrained quadratic programming problem

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OPSEARCH 2019年第2期56卷 367-389页

作者： AbdAlhakim, Hawaf Emam, O. E. Abd El-Mageed, A. A. Helwan Univ Dept Informat Syst Fac Comp & Informat Cairo Egypt

Fully fuzzy quadratic programming became emerge naturally in numerous real-world applications. Therefore, an effective model based on the bound and decomposition method and the separable programming method is proposed in this paper for solving Fully Fuzzy multi-level Quadratically Constrained Quadratic programming (FFMLQCQP) problem, where the objective function and the constraints are quadratic, also all the coefficients and variables of both objective functions and constraints are described fuzzily as fuzzy numbers. The bound and decomposition method is recommended to decompose the given (FFMLQCQP) problem into series of crisp Quadratically Constrained Quadratic programming (QCQP) problems with bounded variable constraints for each level. Each (QCQP) problem is then solved independently by utilizing the separable programming method, which replaces the quadratic separable functions with linear functions. At last, the fuzzy optimal solution to the given (FFMLQCQP) problem is obtained. The effectiveness of the proposed model is illustrated through an illustrative numerical example.

关键词： Fully fuzzy programming multi-level programming Quadratic programming Bound and decomposition method Separable programming method

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A multi-level programming Model for Controlling the Operation Cost of a Complex Product System

A Multi-Level Programming Model for Controlling the Operatio...

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IEEE International Conference on Grey Systems and Intelligent Services (GSIS)

作者： Liu, Yuan Ying, Hongbing Hao, Jingjing Fang, Zhigeng Zhejiang Normal Univ Coll Econ & Management Jinhua Peoples R China Nanjing Univ Aeronaut and Astronaut Coll Econ & Management Nanjing Peoples R China

ISBN: (纸本)9781467352475;9781467352482

A novel analysis frame, house of cost control, is developed for a complex product system to manage the operation cost in a whole life circle. Specifically, the house of cost control and its components are designed to reflect the demands of cost control activities. Additionally, a multi-level programming model is constructed for the house of cost control to optimize the effect of cost improvement, which concerns the conflicts between several amelioration strategies. Finally, the case of a commercial aircraft production system is conducted to verify the effectiveness and practicality of the above method, which can furnish a new solution for the whole life cycle of cost management activities of a complex product system.

关键词： complex product house of cost control whole life circle multi-level programming

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multi-level decisions for addressing trade-off in the cross-regional water-environment-agriculture interactive system under constraint of water ecological carrying capacity

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JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024年 367卷 121940页

作者： Yang, Lingzhi Chen, Yizhong He, Pengming Ren, Yang Yan, Pengdong Li, Jing Hebei Univ Technol Sch Econ & Management Tianjin 300401 Peoples R China Hebei Univ Technol Beijing Tianjin Hebei Dev Res Ctr Tianjin 300401 Peoples R China Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin Peoples R China Hebei Normal Univ Coll Resource & Environm Sci Hebei Key Lab Environm Change & Ecol Construct Shijiazhuang 050024 Peoples R China

The complex-enhanced hierarchical relationship among multiple stakeholders in the water-environmentagriculture interactive system has been overlooked. This study develops a leader-follower-enhanced framework (named as FCMLP) that integrates variable-weight combination prediction model, multi-level programming, and fuzzy credibility constrained programming, which can effectively address the above problems under uncertainties. Five water ecological carrying capacity (WECC) statuses are treated as a critical constraint into the modeling framework to improve the accuracy of decision-making. An interactive fuzzy satisfaction algorithm is advanced for solving this multi-level problem, in which COD discharge minimization, economic benefits maximization, and grain yield maximization are taken as the upper-, middle-, and lower-level goals, respectively. The framework is applied to plan the cross-regional water-environment-agriculture interactive system in the BeijingTianjin-Hebei and Yangtze River Economic Belt. Solutions reveal that increased WECC status and credibility level would decrease 1.40%-1.74%, 0.71%-9.61%, and 1.63%-2.26% of water resources allocation, COD emissions, and economic benefits, respectively. Crop area and grain yield would dramatically decline by 4.13%-4.46% and 4.03%-4.67% when a credibility level increases from 0.8 to 1, respectively. The overall satisfactory degree would range from 0.58 to 0.70, which illustrates interactive decision-making process of multiple stakeholders. Significant differences can be observed in the optimized schemes of water resources allocation and environmentaleconomic-agricultural performances among various models. The amounts of allocated water resources, pollutant discharge, and economic output from the FCMLP model would be respectively 11.30%-13.45%, 14.90%-15.21%, and 73.12%-73.48% higher than those from the environment- and agriculture-oriented schemes, yet 13.81%, 32.05%, and 15.29% lower than those from the economy-or

关键词： multi-level programming Water-environment-agriculture system Credibility level Water ecological carrying capacity Water adaptability countermeasures

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Collaborative Management of Water-Energy-Food-Ecosystems Nexus in Central Asia Under Uncertainty

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WATER RESOURCES RESEARCH 2024年第3期60卷 e2023WR035166-e2023WR035166页

作者： Ma, Yuan Li, Yongping Huang, Guohe Liu, Yuanrui Zhang, Yufei Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Cont Beijing Peoples R China Univ Regina Inst Energy Environm & Sustainable Communities Regina SK Canada

Collaborative management of the water-energy-food-ecosystems (WEFE) nexus can contribute significantly to sustainable development. However, multiple decision-making levels with diverse preferences and multiple uncertainties in different forms pose intractable challenges to the management process. In this study, a novel optimization method named as multi-level chance-constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. MCFP has advantages in evaluating trade-offs among multiple competitive decision makers, solving decentralized planning problems with hierarchical structure, and tackling uncertainties expressed as randomness and vagueness. MCFP is then applied to the WEFE nexus in Central Asia, where five countries, 43 states, six water sources, and eight water users are involved over a long-term planning horizon (2021-2050). A set of scenarios are designed to reflect decision-making preferences based on different irrigation efficiencies, food, ecological and electricity demands as well as constraint-violation probability and system credibility levels. The major findings are: (a) the proportion of agricultural water allocation would reduce to 45.4%-56.6% by 2050 to save more water for ensuring ecological restoration and energy supply;and (b) in order to balance water demands and support regional sustainable development, policymakers should sacrifice some of the benefits, set strict arable land limits for cereal crops, improve irrigation efficiency through adopting drip and sprinkler irrigation, and avoid the effects of the irrigation efficiency paradox. The findings are helpful for policymakers in gaining insight into the interrelationships of water, energy, food and ecosystems as well as making decisions for collaborative management of the WEFE nexus system. In Central Asia, water scarcity, food crisis, energy insecurity and ecological degradation are closely linked. Economic development and diminishing resources further exacerbate thes

关键词： Central Asia collaborative management multi-level programming optimization uncertainty water-energy-food-ecosystems nexus

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Robust Stackelberg Equilibrium Water Allocation Patterns in Shallow Groundwater Areas

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WATER RESOURCES RESEARCH 2024年第8期60卷

作者： Zhang, Xiaoxing Castelletti, Andrea Wang, Xuechao Guo, Ping China Agr Univ Ctr Agr Water Res China Beijing Peoples R China Politecn Milan Dept Elect Informat & Bioengn Milan Italy Yellow River Engn Consulting Co Ltd Zhengzhou Peoples R China Minist Agr & Rural Affairs Wuwei Expt Stn Efficient Water Use Agr Wuwei Peoples R China

It is challenging for decision-makers (DMs) to deal with uncertainties in multi-level agricultural water resource systems, where DMs independently make decisions but have different levels of power. In this paper, we model the multi-level agricultural water resources system under deep uncertainties as a Stackelberg game, use multi-level programming to solve equilibrium water allocation problems, and introduce robustness metrics into multi-level programming to balance solution feasibility and model optimality within uncertain environments. The approach is applied to a shallow groundwater area with three decision levels, pursuing, from the top level to the bottom one, high food production, fair water allocation, and increased economic benefit. The model generated a series of optimal equilibrium solutions with different robustness degrees. DMs can choose "rational" solutions according to their acceptable costs, oriented robustness degree, expected objective values, and advance risk assessment of uncertainties. Among these solutions, we capture a critical point with high objective values and strong robustness, where DMs can accomplish both objective optimality and solution robustness with a low cost. The proposed approach in this study provides a posterior decision support to consider solution robustness while designing policies in multi-level agricultural water resource systems under deep uncertainties.

关键词： robust Stackelberg game uncertainty shallow groundwater area multi-level programming

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