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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decisiontree.The decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decisiontree model    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepThe proposed model effectively integrates the advantages of convolutional neural network (CNN) and decisiontree methods by rebuilding the output decision layer of CNN according to the hierarchical structuralcharacteristics of the decision tree, which is by no means a simple combination of the two models.The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support more

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decisiontree    

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Four-protein model for predicting prognostic risk of lung cancer

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 618-626 doi: 10.1007/s11684-021-0867-0

Abstract: results of HSP90β combined with CEA, CA125, and CYFRA21-1 were used to construct a recursive partitioning decisiontree model to establish a four-protein diagnostic model and predict the survival of patients with lungSurvival analysis showed that the recursive partitioning decision tree could distinguish the prognosis

Keywords： lung cancer     HSP90β     decision tree model     prognosis    

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The application of decision tree to the estimation for cable staten

Sun Qiuye,Zhang Huaguang,Zhang Tieyan

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 90-94

Abstract: The decision tree is employed to classify the insulation state.The subtrees can be formed by all kinds of data, then the final decision tree is composed of the subtrees

Keywords： decision tree     classify     data mining     insulation of cable    

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 194-212 doi: 10.1007/s11709-020-0688-2

Abstract: this study, we carried out nonlinear finite element simulations to predict the performance of a column-tree

Keywords： column-tree moment connection     Finite element model     parametric study     fire     regression models     gene expression    

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: forest, and categorical gradient boosting (CatBoost) models were optimized to derive the best predictive modelrepresenting the most significant FRSCC dataset compared with previous studies, and it was used for model

Keywords： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 237-249 doi: 10.1631/FITEE.1500198

Abstract: We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzyIn our model, experts are asked to express their preferences using linguistic terms characterized byinterval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedomproximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-makingThe results indicate that the proposed model provides greater insight into the GDM process.

Keywords： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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Financing Model Decision of Inter-basin Water Transfer Projects

Ji-wei Zhu,Li-nan Zhou,Zhao Zhai,Cong Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 396-403 doi: 10.15302/J-FEM-2016060

Abstract: Therefore, financing model decision becomes the key of engineering construction.Model is established in this paper.First, the complex financing mode decision problems of Inter-basin Water Transfer Projects are decomposedfinancing mode decision.decision of Inter-basin Water Transfer Projects.

Keywords： Inter-basin Water Transfer Projects     financing model     Weighted Grey Target Model     water diversion     Han River    

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Development of machine learning multi-city model for municipal solid waste generation prediction

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1551-6

Abstract:

● A database of municipal solid waste (MSW) generation in China was established.

Keywords： Municipal solid waste     Machine learning     Multi-cities     Gradient boost regression tree    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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Study on Grey Incidence Decision Model of the Dynamic Multiple-attribute

Dang Yaoguo,Liu Sifeng,Liu Bin,Tao Yong

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 69-72

Abstract:

Based on the decision character of the dynamic multiple-attribute system, in initializing the attributemodel of the dynamic multi-attribute is establishod.In this model, the developing character of each attribute in the system is fully consider, and appliedAll of the above provide a scientific and applied decision method for the dynamic multiple - attributedecision problems.

Keywords： grey incidence analysis     multi-attribute decision     model    

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Application and Development of Civil Aviation Condition Based Maintenance Decision Optimal Model

Zhang Haijun,Zuo Hongfu,Liang Jian,Rong Xiang

Strategic Study of CAE 2005, Volume 7, Issue 11,   Pages 17-20

Abstract: Maintenance optimal model concentrates the essence of condition based maintenance and plays an importantThe paper induced the establishing method of several models, such as Delay Time Model and Shock model, Proportional Hazards Model and Markov decision Model, and analyzed these models’ shortcoming

Keywords： condition based maintenance     maintenance optimal model     decision     cost    

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Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 71-77

Abstract: (X*≠{x}), and the optimal decision analysis model.In addition, the paper proposes decision judgement theorem, decision discernment theorem, decision surplusage-discardingBoth-branch fuzzy decision has such characteristics as decision two-direction dependence character, decisionpiling-synthesis character, decision branch-separating character, decision branch-degeneration character, and decision non-fault character.

Keywords： both-branch fuzzy decision     decision model     judgement theorem     discernment theorem     surplusage-discarding    

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Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 31-35

Abstract: For this problem, present decision-makers often define an interval number to denote this index value,but none has studied the interval number decision model in grey target decision.Based on the above, the multi-attribute decision model of grey target based on interval number is derived, which extends the grey target decision model from real number sequence to interval number sequenceand richens the grey theories in grey target decision.

Keywords： interval number     grey target decision     model     application    

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Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 210-220 doi: 10.1007/s11705-021-2046-x

Abstract: The ability of simulations to reflect real process behavior strongly depends on model quality.Using such a model in various simulation and optimization studies can support the process designer inIn this contribution challenges of extending an existing decision support framework for steady state

Keywords： decision support     multicriteria optimization     model validation     dynamic model     sensitivity analysis    

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Title Author Date Type Operation

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Four-protein model for predicting prognostic risk of lung cancer

Journal Article

The application of decision tree to the estimation for cable staten

Sun Qiuye,Zhang Huaguang,Zhang Tieyan

Journal Article

An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Journal Article

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

Journal Article

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Journal Article

Financing Model Decision of Inter-basin Water Transfer Projects

Ji-wei Zhu,Li-nan Zhou,Zhao Zhai,Cong Wang

Journal Article

Development of machine learning multi-city model for municipal solid waste generation prediction

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Study on Grey Incidence Decision Model of the Dynamic Multiple-attribute

Dang Yaoguo,Liu Sifeng,Liu Bin,Tao Yong

Journal Article

Application and Development of Civil Aviation Condition Based Maintenance Decision Optimal Model

Zhang Haijun,Zuo Hongfu,Liang Jian,Rong Xiang

Journal Article

Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Journal Article

Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Journal Article

Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Journal Article