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Uncertainty in Knowledge Representation

Li Deyi

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 73-79

Abstract: And the difficulty is uncertainty hidden in qualitative concepts, that is the randomness and fuzziness

Keywords： knowledge representation     qualitative concept     uncertainty     cloud model     digital characteristics    

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Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 517-537 doi: 10.1007/s11465-020-0589-z

Abstract: This paper presents a dynamic and static error transfer model and uncertainty evaluation method for aFirst, an error transfer model of the high-speed variable-slit system is established, and the influenceFinally, the uncertainty of the blade displacement measurement is evaluated using the Monte Carlo methodThe proposed model can evaluate the performance of the complex mechanical system and be used to guide

Keywords： air-floating guide rail     error transfer model     driving and following structure     dynamic error     uncertainty    

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Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1510-1519 doi: 10.1007/s11709-019-0577-8

Abstract: parameter and the drift ratio of the bridge column as the EDP parameter, a probabilistic seismic demand modelOn this basis, the uncertainty analysis is conducted with the key sources of uncertainty during the finiteAll the results are quantified by the “swing” base on the specific distribution range of each uncertaintyresults show that PGA is a proper IM parameter for setting up a linear probabilistic seismic demand model; damping ratio, pier diameter and concrete strength are the main uncertainty parameters during bridge

Keywords： continuous bridge     probabilistic seismic demand model     Intensity Measure     near-fault     uncertainty    

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An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 549-558 doi: 10.1007/s11783-012-0414-y

Abstract: In this study, an interval fuzzy mixed-integer energy planning model (IFMI-EPM) is developed under consideringinterval-parameter programming, fuzzy planning and mixed-integer programming within a general energy planning modelConsidering low, medium and high carbon tax rates, the model is applied to an ideal energy and environment

Keywords： energy     carbon tax     planning     uncertainty     fuzzy    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: However, the uncertainty of RES poses challenges to the safe and stable operation of DCs and power gridsIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centers(IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimization

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributedpower supply     landscape uncertainty    

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Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 100-107

Abstract:

While Xin'anjiang model is applied to simulate hydrograph, the "best"  parameter set to be found and it doesn't describe uncertainty of parameter.presents using SCEM-UA algorithm based Markov Chain Monte Carlo (MCMC) methods for optimization and uncertaintyresults of calibration and validation indicate that it is feasible and effective for optimization and uncertaintyassessment of Xin'anjiang model parameters.

Keywords： Xin'anjiang model     calibration parameter     uncertainty assessment     SCEM-UA    

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Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: The present work intends to investigate the effect of soil and model parameter uncertainty on the responseThe sensitivity of both soil and model input parameters on shallow foundation responses are investigatedhighly sensitive soil parameters, such as friction angle, Poisson’s ratio and shear modulus, rather than model

Keywords： foun dation     sensitivity analysis     centrifuge data     first-order-second-moment (FOSM) method     parameter uncertainty    

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A Parallel Adaptive Metropolis Algorithm for Uncertainty

Cheng Chuntian,Li Xiangyang

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 47-51

Abstract: justify;">Markov Chain Monte Carlo (MCMC) methods,  which are popular for estimating parameters uncertaintyassessment of hydrologic model parameters. The PAM algorithm is applied to assess the parameter uncertainty of Xinanjiang model using hydrologic The case study demonstrates that there is considerable uncertainty about the Xinanjiang model parameters The hydrograph prediction uncertainty ranges associated with the posterior distribution of the

Keywords： hydrologic model     uncertainty assessment     MCMC     PAM     parallel computing    

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Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1025-1035 doi: 10.1007/s11783-014-0655-z

Abstract: Once the model development is complete, the composite module and the entire modeling system need to betested and validated to ensure that the model can simulate natural phenomena with reasonable and reliable

Keywords： environmental multimedia modelling system     fuzzy-set approach     application     model validation     uncertainty    

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: result is independent from any assumptions on stochastic properties of the random variables in the modelThe optimization of an arch-type dam is realized here by a robust optimization method under load uncertaintyThe load uncertainty is modeled as an ellipsoidal expression.offers a solution candidate close to limit-states, the RDO method provides a robust solution against uncertaintyTo reduce the computational cost, a ranking strategy and an approximation model are further involved

Keywords： arch dam     shape optimization     robust optimization     load uncertainty     approximation model    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: Besides, the uncertainty of models, variables, and data are inspected.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Engineering 2017, Volume 3, Issue 2,   Pages 202-213 doi: 10.1016/J.ENG.2017.02.008

Abstract:

In the present work, two new, (multi-)parametric programming (mp-P)-inspired algorithms for the solution of mixed-integer nonlinear programming (MINLP) problems are developed, with their main focus being on process synthesis problems. The algorithms are developed for the special case in which the nonlinearities arise because of logarithmic terms, with the first one being developed for the deterministic case, and the second for the parametric case (p-MINLP). The key idea is to formulate and solve the square system of the first-order Karush-Kuhn-Tucker (KKT) conditions in an analytical way, by treating the binary variables and/or uncertain parameters as symbolic parameters. To this effect, symbolic manipulation and solution techniques are employed. In order to demonstrate the applicability and validity of the proposed algorithms, two process synthesis case studies are examined. The corresponding solutions are then validated using state-of-the-art numerical MINLP solvers. For p-MINLP, the solution is given by an optimal solution as an explicit function of the uncertain parameters.

Keywords： Parametric programming     Uncertainty     Process synthesis     Mixed-integer nonlinear programming     Symbolic manipulation    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: have led to the necessity of developing optimization models for crop planting structure which consider uncertaintyIn this study, three single-objective programming models under uncertainty for crop planting structureprogramming (IFCCP) model and an inexact fuzzy linear programming (IFLP) model.Moreover, the IFCCP model considers fuzzy uncertainty of parameters/variables and stochastic characteristicsof constraints, while the IFLP model takes into account the fuzzy uncertainty of both constraints and

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 2,   Pages 231-241 doi: 10.1007/s11783-012-0431-x

Abstract: The various forms of uncertainty that firms may face in bankable emission permit trading markets willThis research explores the effect of increased uncertainty over future input costs and output pricesIncreased uncertainty about future market conditions increases the expected permit price and causes aFinally, safety valves, both low-side and high-side, are suggested to reduce the impact of uncertainty

Keywords： uncertainty     bankable     emission trading     market performance    

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Risk analysis methods of the water resources system under uncertainty

Zeying GUI,Chenglong ZHANG,Mo Li,Ping GUO

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 3,   Pages 205-215 doi: 10.15302/J-FASE-2015073

Abstract: The main characteristic of the water resources system (WRS) is its great complexity and uncertainty,In this paper the inherent stochastic uncertainty and cognitive subjective uncertainty of the WRS are, conditional value at risk model, chance-constrained risk model, minimizing probability of risk eventsmodel, and the multi-objective optimization model).Finally, this paper focuses on the various methods of risk analysis under uncertainty, which are summarized

Keywords： water resources system     evaluation criterion     optimization model     risk analysis method     uncertainty    

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Title Author Date Type Operation

Uncertainty in Knowledge Representation

Li Deyi

Journal Article

Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Journal Article

Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Journal Article

An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Journal Article

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

A Parallel Adaptive Metropolis Algorithm for Uncertainty

Cheng Chuntian,Li Xiangyang

Journal Article

Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Journal Article

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Journal Article

Risk analysis methods of the water resources system under uncertainty

Zeying GUI,Chenglong ZHANG,Mo Li,Ping GUO

Journal Article