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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 practicesThe proposed methodology consists of three main components, namely, case representation, case retrieval, and case adaption and retention.

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

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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: Considering the shortage of the experience and expert in construction claim of large water transfer project, case-basedreasoning (CBR) and rule-based reasoning (RBR) in artificial intelligence are used in claim managementThe knowledge-based claim decision support system is designed and implemented, in which the previous

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

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A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 440-445 doi: 10.1007/s11708-009-0051-8

Abstract: In this paper, a new case-based approach is proposed based on an online performance assessment programparameters for the completion of similarity determination are proposed, which are essential to realize a case-basedThe advantage of the case-based approach is the integrality of information over other methods.

Keywords： energy system     case-based     optimization     power unit operation     performance    

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Investigation of the structural form optimization methods of high-rise buildings

ZHANG Shihai, WANG Li, OU Jinping, WANG Guangyuan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 182-187 doi: 10.1007/s11709-007-0020-4

Abstract: In this paper, the structural form optimization methods of high-rise buildings based on the expert system(ES), case-based reasoning (CBR), and knowledge discovery in database (KDD) are evaluated systematicallyFinally, the unified intelligent form selection model combined with concepts of ES, CBR, KDD and artificially

Keywords： case-based reasoning     computation     KDD     important development     high-rise    

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge 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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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 ongenetic algorithms the coding for individual, the means for cross-over and mutation were all founded based

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

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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: Based on these characters, the results for com-posite topological relations are introduced.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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Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 145-153 doi: 10.1007/s11465-015-0334-1

Abstract:

The reliability-based optimization, the reliability-based sensitivity analysis and robust design methodare employed to propose an effective approach for reliability-based robust design optimization of vehicleApplications of the method are further discussed for reliability-based robust optimization of vehicleResults have shown the proposed method is an efficient method for reliability-based robust design optimization

Keywords： vehicle axles and springs     reliability-based design optimization     reliability-based sensitivity analysis    

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Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 483-490 doi: 10.1007/s11465-010-0118-6

Abstract: A rule-based reseaning (RBR) intelligent diagnostic system has been developed based on many successful

Keywords： rule-based reasoning     fault diagnosis     intelligent system     gear box    

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Case modifying of high-speed cutting database based on CSP and similarity theory

Kejun XIANG, Zhanqiang LIU, Xing AI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 83-87 doi: 10.1007/s11465-009-0014-0

Abstract: By analyzing the reasoning of a high-speed cutting database system, a case modifying method is put forwardAccording to the variables’ difference of the solution part in a case, a constraint satisfaction problem(CSP) and similarity calculation are used to modify a case.The CSP and similarity calculation are applied to case modifying, which is possible to automatically

Keywords： high-speed cutting database     case modifying     CSP     similarity calculation    

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Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 66-80 doi: 10.1007/s11709-018-0461-y

Abstract: The design of high-rise buildings often necessitates ground excavation, where buildings are in close proximity to the construction, thus there is a potential for damage to these structures. This paper studies an efficient user-friendly framework for dealing with uncertainties in a deep excavation in layers of cemented coarse grained soil located in Tehran, Iran by non-deterministic Random Set (RS) method. In order to enhance the acceptability of the method among engineers, a pertinent code was written in FISH language of FLAC2D software which enables the designers to run all simulations simultaneously, without cumbersome procedure of changing input variables in every individual analysis. This could drastically decrease the computational effort and cost imposed to the project, which is of great importance especially to the owners. The results are presented in terms of probability of occurrence and most likely values of the horizontal displacement at top of the wall at every stage of construction. Moreover, a methodology for assessing the credibility of the uncertainty model is presented using a quality indicator. It was concluded that performing RS analysis before the beginning of every stage could cause great economical savings, while improving the safety of the project.

Keywords： uncertainty     reliability analysis     deep excavations     random set method     finite difference method    

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

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

Engineering 2016, Volume 2, Issue 3,   Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract: disturbances, this study addresses the issue of the fuzzification of time intervals in a train timetable basedon historical statistics and the modeling of a high-speed railway train timetable based on the conceptBased on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction method10.1016/J.ENG.2017.01.002">Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Basedon Fuzzy Temporal Knowledge Reasoning” [Engineering (2016) 366–373][J].

Keywords： High-speed railway     Train timetable     Conflict prediction     Fuzzy temporal knowledge reasoning    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract: On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based

Keywords： language value structure     generalized cell automation     generalized inductive logic causal model     automatic reasoning    

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In situ-based assessment of soil liquefaction potential–Case study of an earth dam in Tunisia

Ikram GUETTAYA,Mohamed Ridha EL OUNI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 456-461 doi: 10.1007/s11709-014-0259-5

Abstract: liquefaction was made using deterministic and probabilistic simplified procedures developed from several case

Keywords： liquefaction     cone penetration test (CPT)     standard penetration test (SPT)     vibrcompaction     sand    

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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: condition has long been a challenging industrial issue due to its inherent complexity in analyzing basedIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationreasoning model is proposed.finding 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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Title Author Date Type Operation

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

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

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

Wang Wei

Journal Article

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Journal Article

Investigation of the structural form optimization methods of high-rise buildings

ZHANG Shihai, WANG Li, OU Jinping, WANG Guangyuan

Journal Article

Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning” 

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

Journal Article

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

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Journal Article

Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Journal Article

Case modifying of high-speed cutting database based on CSP and similarity theory

Kejun XIANG, Zhanqiang LIU, Xing AI

Journal Article

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Journal Article

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

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

In situ-based assessment of soil liquefaction potential–Case study of an earth dam in Tunisia

Ikram GUETTAYA,Mohamed Ridha EL OUNI

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