Resource Type

Journal Article 363

Conference Videos 10

Year

2024 1

2023 31

2022 20

2021 23

2020 22

2019 26

2018 11

2017 16

2016 19

2015 11

2014 14

2013 13

2012 5

2011 18

2010 11

2009 11

2008 18

2007 19

2006 12

2005 14

open ︾

Keywords

uncertainty 22

game theory 7

multi-objective optimization 5

Uncertainty 4

Deep learning 3

Density functional theory 3

Game theory 3

density functional theory 3

Artificial intelligence 2

Flory-Huggins theory 2

Modeling 2

design theory 2

extension theory 2

modeling 2

parallel mechanism 2

power factor unity 2

screw theory 2

static bending 2

sustainable development 2

open ︾

Search scope:

排序: Display mode:

Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 68-74

Abstract:

Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoningFortunately, uncertainty reasoning theory can meet this requirement.Uncertainty reasoning theory includes several kinds of theories, such as inclusion degree theory, roughset theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and so, rough set theory and evidence reasoning theory of the uncertainty reasoning theory are used respectively

Keywords: satellite     fault     detection     diagnosis     uncertainty reasoning theory    

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 andprinciple of correlation theory.It is a base to study generalized uncertainty systems theory.

Keywords: generalized uncertainty information     uncertainty mathematics     generalized uncertainty systems theory    

A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 63-69

Abstract:

After existing study methods are analyzed, a new researching model for conceptual design based on extension and genetic algorithms was presented. The inner-model and outer-model of product project were set up with matter elements. In genetic algorithms the coding for individual, the means for cross-over and mutation were all founded based on the inner-model. The fitness function was set up combined with relationship function. The technique solves the innovative and incompatible problems in conceptual design. The feasibility of the new researching model is testified by three conceptual design examples for retarder.

Keywords: conceptual design     matter elements transform     genetic algorithms     evolution reasoning     extension appraisal    

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 foundationand scientific meaning of generalized uncertain system theory (GUST).

Keywords: uncertainty information     generalized uncertainty system     basic structure    

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 14-19

Abstract: At last, the applications in spatial reasoning are proposed.

Keywords: topological relationship     composite of topological relations     spatial reasoning     algbra reasoning     logicalreasoning    

Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 416-432 doi: 10.1007/s42524-019-0036-1

Abstract: This study introduces a case-based reasoning methodology for a specific city to select the best practices

Keywords: low-carbon city     carbon emission     best practices     case-based reasoning    

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification reasoningfinding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoningThe accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for

Keywords: aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification and reasoning    

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    

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    

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    

to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1,   Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract: the neural network-based NLP framework (neural NLP) from three perspectives: modeling, learning, and reasoningWe view reasoning as a new and exciting direction for neural NLP, but it has yet to be well addressedIn the reasoning section, we will review reasoning mechanisms, including the knowledge, existing non-neuralWe emphasize the importance of reasoning in this paper because it is important for building interpretable

Keywords: Natural language processing     Deep learning     Modeling     learning     and Reasoning    

Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Engineering 2019, Volume 5, Issue 5,   Pages 817-818 doi: 10.1016/j.eng.2019.08.009

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    

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    

Title Author Date Type Operation

Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Journal Article

Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Journal Article

A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Journal Article

The Argument Foundation of Generalized Uncertainty Systems Theory

Wang Qingyin,Guo Litian,Xie Jianhua,Liu Zhiyong

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang 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

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

to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article

Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

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