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Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 16-22

Abstract:

Based on comprehensive discussion on the connotation of generalized uncertainty systems theory, thispaper discusses the extension of generalized uncertainty systems theory as well as the basic frame andIt is a base to study generalized uncertainty systems theory.

Keywords： generalized uncertainty information     uncertainty mathematics     generalized uncertainty systems theory    

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The Application of Intellective Mathematics Models in Supply Chain Management

Bai Yuchao

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 58-62

Abstract: On the basis of intellective mathematics, the paper puts forward some concrete development countermeasuresfor modern logistics business, depending on the methods of intellective mathematics model.

Keywords： intellective mathematics model     supply chain management     SCM     SWOT    

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The Mathematics Model and Matrix Method of Complex Cocurrent Multi-Effect Evaporation

Ruan Qi,Chen Wenbo,Huang Shihuang,Ye Changshen

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 36-41

Abstract:

The model of complex cocurrent multi-effect evaporation with condensed water flash and extra vapor elicitation is established. The conventional model of cocurrent multi-effect evaporation is a simplified example of the model. A new algorithm (iteration method combining with matrix method) is presented. The results show that the new algorithm is which increases the convergent speed and stability, more efficient than the Newton method and Broyden method. With condensed water flash and preheating cane sugar solution from 26.7 to 90℃ by elicitation extra vapor,the fresh vapor expenditure of cocurrent three-effect evaporation is decreased by about 16%.

Keywords： condensed water flash     extra vapor elicitation     cocurrent     multi-effect evaporation     mathematics model     matrix    

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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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Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 275-298 doi: 10.1007/s42524-019-0022-7

Abstract: This paper examines the uncertainty events encountered in the process of constructing highways, and evaluatesThe research made use of a review of extant literature in the area of uncertainty management, and modelingAn uncertainty matrix for South African highway projects was developed, using a quantitative model andIt emerged from the study that the uncertainty events affecting the construction time of highway projectstime differently, through a combination of the uncertainty events of the individual construction activities

Keywords： ANFIS     construction time     impact assessment     highway project     South Africa     uncertainty    

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Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 306-325 doi: 10.1007/s11709-022-0890-5

Abstract: This paper numerically studied the effect of uncertainty and random distribution of concrete strengthCapability of lattice modeling was highlighted as an efficient tool to account for uncertainty in statistical

Keywords： lattice modeling     shear failure     flexural failure     uncertainty     deficiency     numerical simulation    

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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 aFinally, the uncertainty of the blade displacement measurement is evaluated using the Monte Carlo method

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

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temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: main scope of the current study is to develop a systematic stochastic model to capture the undesired uncertaintyHowever, there exist rare reports which propose an efficient tool for coping with the uncertainty associated

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

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The Argument Foundation of Generalized Uncertainty Systems Theory

Wang Qingyin,Guo Litian,Xie Jianhua,Liu Zhiyong

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 25-29

Abstract:

The paper discusses the brief development of uncertainty system theory at home and abroad, gives thedefinition of uncertainty systems, and presents the basic conception, basic structure, argument foundation

Keywords： uncertainty information     generalized uncertainty system     basic structure    

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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: On 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 uncertaintyprobabilistic seismic demand model; damping ratio, pier diameter and concrete strength are the main uncertainty

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

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Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 767-775 doi: 10.1007/s11783-014-0632-6

Abstract: The water supply network (WSN) system is a critical element of civil infrastructure systems. Its complexity of operation and high number of components mean that all parts of the system cannot be simply assessed. Earthquakes are the most serious natural hazard to a WSN, and seismic risk assessment is essential to identify its vulnerability to different stages of damage and ensure the system safety. In this paper, using a WSN located in the airport area of Tianjin in northern China as a case study, a quantitative vulnerability assessment method was used to assess the damage that the water supply pipelines would suffer in an earthquake, and the finite element software ABAQUS and fuzzy mathematic theory were adopted to construct the assessment method. ABAQUS was applied to simulate the seismic damage to pipe segments and components of the WSN. Membership functions based on fuzzy theory were established to calculate the membership of the components in the system. However, to consider the vulnerability of the whole system, fuzzy cluster analysis was used to distinguish the importance of pipe segments and components. Finally, the vulnerability was quantified by these functions. The proposed methodology aims to assess the performance of WSNs based on pipe vulnerabilities that are simulated and calculated by the model and the mathematical method based on data of damage. In this study, a whole seismic vulnerability assessment method for a WSN was built, and these analyses are expected to provide necessary information for a mitigation plan in an earthquake disaster.

Keywords： water supply network     seismic vulnerability assessment     finite element     fuzzy mathematics    

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An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: Air Pollution Control model is developed for open-pit metal mines. Model will aid decision makers to select a cost-effective solution. Open-pit metal mines contribute toward air pollution and without effective control techniques manifests the risk of violation of environmental guidelines. This paper establishes a stochastic approach to conceptualize the air pollution control model to attain a sustainable solution. The model is formulated for decision makers to select the least costly treatment method using linear programming with a defined objective function and multi-constraints. Furthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties and evaluate an ambient air quality systematically. The applicability of the optimized model is explored through an open-pit metal mine case study, in North America. This method also incorporates the meteorological data as input to accommodate the local conditions. The uncertainties in the inputs, and predicted concentration are accomplished by probabilistic analysis using Monte Carlo simulation method. The output results are obtained to select the cost-effective pollution control technologies for PM2.5, PM10, NOx, SO2 and greenhouse gases. The risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membership approach based on different environmental guidelines. Fuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution functions of pollutant concentration. Thus, an integrated modeling approach can be used as a decision tool for decision makers to select the cost-effective technology to control air pollution.

Keywords： Air pollution     Decision analysis     Linear programming     Mining     Optimization     Fuzzy     Monte Carlo    

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Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents

Jiping Jiang, Feng Han, Yi Zheng, Nannan Wang, Yixing Yuan

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1081-4

Abstract:

Uncertainty rules of pollution source inversion are revealed by stochastic>

A release load is most easily inversed and source locations own largest uncertainty/p>

Instantaneous spill assumption has much less uncertainty

Keywords： River chemical spills     Emergency response     Pollution source inversion     Inverse uncertainty analysis     Regional    

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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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A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 27-31

Abstract:

A sort of continued fuzzy operators is given. Proceeded from applied point of view, relation between the triangle norm operators most in use and the continued fuzzy operators is analyzed. A new fuzzy synthetic evaluation criterion and method are given. The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows： using directly untransformed data; avoiding loss of original information; avoiding increase in interference information; bing very easy to tell which result is better in different papers.

Keywords： fuzzy mathematics     fuzzy synthetic evaluation     triangle norm operator     continued fuzzy operators    

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Title Author Date Type Operation

Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Journal Article

The Application of Intellective Mathematics Models in Supply Chain Management

Bai Yuchao

Journal Article

The Mathematics Model and Matrix Method of Complex Cocurrent Multi-Effect Evaporation

Ruan Qi,Chen Wenbo,Huang Shihuang,Ye Changshen

Journal Article

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

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Journal Article

Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Journal Article

Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

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

temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

The Argument Foundation of Generalized Uncertainty Systems Theory

Wang Qingyin,Guo Litian,Xie Jianhua,Liu Zhiyong

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

Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Journal Article

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Journal Article

Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents

Jiping Jiang, Feng Han, Yi Zheng, Nannan Wang, Yixing Yuan

Journal Article

Uncertainty in Knowledge Representation

Li Deyi

Journal Article

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Journal Article