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Decision Making and Operations Research Techniques for Construction Management
作者
：
出版日期
：
2007
閱讀格式
：
PDF
ISBN
：
9789629371159
- Preface
- List of Illustrations
- Acronyms and Abbreviations
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１Multi-criteria Decision-making Models for Construction
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Introduction to Multi-criteria Decision-making Systems
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Analytical Hierarchy Process
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Non-Structural Fuzzy Decision Support System
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ELECTRE-III
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Superiority and Inferiority Ranking (SIR) Method
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Summary
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References
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２Artificial Neural Networks for Construction
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Introduction to Artificial Neural Networks
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Back-Propagation Network (BPP)
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Multilayer Feedforward Network (MLFF)
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General Regression Neural Network (GRNN)
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Probabilistic Neural Network (PNN)
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Group Method of Data Handling (GMDH)
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Summary
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References
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３Genetic Algorithms for Construction
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Introduction to Genetic Algorithms
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Application Example 1: Optimizing the Use of Labour Utilization in Construction
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Application Example 2: Fuzzy Optimization of Labour Allocation of Different Trades
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Application Example 3: Optimizing the Supply Locations around Tower Crane
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Application Example 4: GA-ANN Model for Optimizing Locations of Tower Crane and Supply Points for High-rise Public Housing Construction
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Optimization of Building Portfolio Management
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Summary
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References
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４Construction Simulation
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Introduction to Computer Simulation
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Construction Simulation
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Simulation Strategy
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Graphical Modeling
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Modeling Stochastic Behaviors of Construction Operations
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Model Verification ＆ Validation and Simulation Animation
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Simulation Experimentation and Sensitivity Analysis
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Summary
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References
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５Rough Set Theory for Construction
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Introduction to Rough Set Theory
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Concept of Rough Set Theory
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Application Example—RST for Distilling Construction Safety Measures
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Summary
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References
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６Advanced Statistical Techniques for Construction
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Multiple Regressions
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Discriminant Analysis
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Factor Analysis
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References
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- Index
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