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The Cloud Control Method and Balancing Patterns of Triple Link Inverted Pendulum Systems

Li Deyi

Strategic Study of CAE 1999, Volume 1, Issue 2, Pages 41-46

Abstract:

A formal representation of cloud models for mapping between qualitative and quantitative knowledgeThe uncertainty reasoning mechanism is proposed with such cloud models, while several qualitative rulesMoreover, it may have universal significance in revealing the transformation law between qualitative

Keywords： intelligent control cloud models qualitative reasoning inverted pendulum

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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

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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

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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

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Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Strategic Study of CAE 2006, Volume 8, Issue 1, Pages 81-84

Abstract: with the pattern recognition techniques of self organizing competitive network for the research of gas qualitative

Keywords： gas sensor array self organizing competitive network qualitative analysis

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The investigation of pressure drop in moving-beds

CHEN Yunhua, ZHU Xuedong, WU Yongqiang, ZHU Zibin

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 2, Pages 184-189 doi: 10.1007/s11705-007-0034-4

Abstract: after a cavity occurs and a dimensionless relationship of cavity size is developed, which gives a good qualitative

Keywords： development cross-flow velocity superficial qualitative account stabilization

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Qualitative analysis of direction of public hospital reforms in China

Dahai Zhao, Zhiruo Zhang

Frontiers of Medicine 2018, Volume 12, Issue 2, Pages 218-223 doi: 10.1007/s11684-017-0534-7

Abstract: The data used in this study were mainly derived from a qualitative study.

Keywords： public hospital government hospital public funding operation mechanism

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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 fuzzinessThis methodology has effectively made mapping between quantitative and qualitative knowledge much easierA cloud drop, that is a quantitative value, representing the qualitative concept can be measured by contributions

Keywords： knowledge representation qualitative concept uncertainty cloud model digital characteristics

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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

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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 reasoningcapability, but certainty reasoning theory can not realize the capability.Fortunately, uncertainty reasoning theory can meet this requirement.set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and sotheory of the uncertainty reasoning theory are used respectively.

Keywords： satellite fault detection diagnosis uncertainty reasoning theory

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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

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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

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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

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Study and implementation of claim decision support system for large water transfer project

Wang Wei

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 108-112

Abstract: shortage of the experience and expert in construction claim of large water transfer project, case-based reasoning(CBR) and rule-based reasoning (RBR) in artificial intelligence are used in claim management.

Keywords： water transfer project claim management case-based reasoning (CBR) rule-based reasoning (RBR) decision

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Evaluation of Corporate Sustainability

Panitas Sureeyatanapas,Jian-Bo Yang,David Bamford

Frontiers of Engineering Management 2014, Volume 1, Issue 2, Pages 176-194 doi: 10.15302/J-FEM-2014025

Abstract: However, due to the complexity of evaluation, such as a compilation of quantitative and qualitative measuresThis paper proposes a series of mathematical formulations based upon the evidential reasoning (ER) approachwhich can be used to aggregate results from qualitative judgments with quantitative measurements under

Keywords： corporate organization sustainability evidential reasoning evaluation assessment