Fuzzy Quantitative Management : Principles, Methodologies and Applications

• Autore: Lin Shaopei
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2023; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (179 pages)
• Altri autori: ZhaoGuohua
• Nota di contenuto: Intro -- Foreword -- Preface -- Contents -- About the Authors -- 1 Philosophical Consideration of Quantitative Management -- 1.1 Background Information of Quantitative Management -- 1.2 Philosophical Background of Managerial Science -- 1.3 Philosophical Considerations of "System-Fuzzy" Model -- 1.4 Philosophical Considerations of "Quantitative Management" -- 1.5 Conclusive Remarks -- References -- 2 "Fuzz-AI Model" for Quantitative Management -- 2.1 The Features of Quantitative Management -- 2.2 What So-Called "Fuzzy-AI Model"? -- 2.3 Theoretical Foundation -- 2.3.1 The Meaningfulness of Fuzzy-AI Model -- 2.3.2 Setting of "Fuzzy-AI Model" -- 2.3.3 Fuzzy Distance with Variation Weights -- 2.3.4 Fuzzy Distance by Nearness Degree -- 2.4 Decision of Long-Term Highway Maintenance Investment -- 2.4.1 The Introducing of Pavement Damage State Indicator, PDSI -- 2.4.2 Fuzzy Model for the Decision of Highway Maintenance Investment -- 2.4.3 Elliptic Damage Model for Highway Maintenance Investment -- 2.4.4 Fuzzy Investment Decision Maintenance Investment of Highway System -- 2.5 Conclusive Remarks -- References -- 3 The Conceptual Investigation of "Deep Data" and "Deep Knowledge" -- 3.1 "Deep Data/Knowledge" in a Decision System -- 3.2 Representation of Hierarchical Space of State -- 3.3 Fuzzy Deep Knowledge Reasoning Approach -- 3.3.1 Mathematical Distance in Space -- 3.3.2 Fuzzy Hierarchy Reasoning Approach -- 3.3.3 Weight Distribution Between Attributes -- 3.3.4 Illustrative Example -- 3.3.5 Fuzzy Decision Making -- 3.4 Fuzzy Decision in Bidding -- 3.4.1 Problem Illustration -- 3.4.2 Mathematical Modeling -- 3.4.3 Solving Procedures -- 3.4.4 Case Studies -- 3.5 Conclusive Remarks -- References -- 4 Fuzzy Quantitative Risk Management -- 4.1 Background in Fuzzy Quantitative Risk Management -- 4.2 Project Risk in the Reality. ; 4.3 Risk Knowledge Framework (RKF) -- 4.3.1 Hierarchical Structure of RKF -- 4.3.2 Functions of RKF -- 4.4 Software Architecture of Knowledge Based Fuzzy Decision Supporting System (KB-FDSS) -- 4.4.1 Expression of Risk Through Fuzzy Set -- 4.4.2 Fuzzy Assessment and Quantification of Risks -- 4.4.3 System Function of KB-FDSS -- 4.5 Example Verification of Risk Evaluation -- 4.6 Establishment of the Knowledge Base for Fuzzy Decision-Making of Risks -- 4.7 Conclusive Remarks -- References -- 5 Quantitative Risk Decision of Overseas Projects -- 5.1 Project Risks in Overseas Engineering Market -- 5.2 Modeling of the Problem -- 5.2.1 The Contents and Characteristics of Project Investment Risk -- 5.2.2 The Indicator System of Economic Risks in Project Investment -- 5.3 Soft Strength and Human Error Risk in Overseas Projects -- 5.3.1 Risk Control and "Soft Strength" of Enterprises -- 5.3.2 Human Factor Induced Decision Error in Overseas Project Risk Management -- 5.3.3 Factors and Traps of Wrong Decision -- 5.3.4 Psychological Analysis of Decision Trap -- 5.4 Case Studies -- 5.4.1 Real Estate Project Investment Risks in New York City -- 5.4.2 High-Speed Railway Investment Risks -- 5.5 Conclusive Remarks -- References -- 6 System Dynamics Modeling and Applied to International PPP Project Risk Evaluation -- 6.1 Development Characteristics of System Dynamics -- 6.2 System Analysis of Overseas PPP Project Risks -- 6.2.1 The Concept and Characteristics of System Science -- 6.2.2 The Capacity Expected by System Methodology -- 6.2.3 Elements of System Component -- 6.2.4 The System Risks of Overseas PPP Projects -- 6.2.5 Case Study of System Dynamics Modeling of Project Financing Risk -- 6.2.6 The Implementation of Risk Management Overseas of PPP Project -- 6.2.7 System Analysis and Action of Risk for Overseas PPP Projects. ; 6.3 Risk Control and System Dynamics Model of Overseas PPP Project -- 6.3.1 The Advantages of System Dynamics Model -- 6.3.2 The Establishment of System Dynamics Model -- 6.3.3 Soft Risk Analysis of Overseas PPP Project -- 6.4 Solution of Soft System Dynamics Model for Overseas PPP Projects -- 6.4.1 Six Kinds of Soft Risks in Overseas PPP Project -- 6.4.2 Solution of FAHP Method -- 6.4.3 Building Risk Factor Framework in FAHP System Dynamics Model Solution -- 6.4.4 Weight Order of Sub-Risk (Attributes) Determined by Eigen-Value Solution -- 6.4.5 Case Study -- 6.4.6 Practical Treatment of Overseas PPP Project -- 6.5 Conclusive Remarks -- References -- 7 Fuzzy TOPSIS Method for the Cost Prediction in Bridge Engineering Project -- 7.1 Background Information -- 7.2 On Fuzzy TOPSIS Method -- 7.3 Bridge Cost Prediction Review -- 7.3.1 Investigational Review in the Prediction of Engineering Cost -- 7.3.2 Sample Matching Ideas -- 7.3.3 Fuzzy Method -- 7.3.4 Conclusion -- 7.4 Method Selection of Cost Prediction -- 7.4.1 Indicators of Engineering Cost Prediction -- 7.4.2 Fuzzy Method -- 7.4.3 Fuzzy TOPSIS Method -- 7.5 Case Study -- 7.5.1 Data Treatment -- 7.5.2 Calculation Results -- 7.5.3 Sensitivity Analysis -- 7.6 Conclusive Remarks -- References -- 8 The Advantages of Quantitative Management in Decision -- 8.1 Two Kinds of Events with Different Nature and Its Modeling -- 8.2 Theoretical Basis and Application Areas of "Fuzzy-AI Model" -- 8.3 Some Modeling Expressions of Quantitative Management -- 8.3.1 MP (Mathematical Programming) Model -- 8.3.2 NM (Nearness and Matching) Model -- 8.3.3 Max/Min Indicator Model -- 8.3.4 AE (Assessment and Evaluation) Model -- 8.4 Quantitative Management Perspectives -- 8.5 Conclusive Remarks -- References -- 9 On Fuzzy Method of "Deep Knowledge" and "Deep Data" in Project Quantitative Management. ; 9.1 The Background Information -- 9.2 Representative Expression of Hierarchical Space of State -- 9.2.1 Multi-Layered Hierarchy Space -- 9.2.2 Mathematical Distance in Space -- 9.3 Fuzzy Hierarchy Reasoning Approach -- 9.3.1 Space Chart Analysis -- 9.3.2 Fuzzy State Assessment -- 9.3.3 Weight Distribution Between Attributes -- 9.4 Illustrative Example -- 9.4.1 Space Chart of Event -- 9.4.2 Fuzzy Decision Making -- 9.5 Fuzzy Decision in Bidding -- 9.5.1 Mathematical Modeling -- 9.5.2 Solving Procedures -- 9.6 Case Studies -- 9.7 Conclusive Remarks -- References -- 10 Perspectives in Combining Fuzzy and AI Techniques in Quantitative Management -- 10.1 Background Information -- 10.1.1 Facing Digitization of Project Management -- 10.1.2 Case Guide -- 10.1.3 What Should We Understand? -- 10.2 Two Types of Economy and Its Characteristics -- 10.3 Business Mode Under "Internet" Era and Knowledge Economy -- 10.4 Sustainable Development of Successful Enterprise Under Knowledge Economy -- 10.5 Case Study-E-commerce and Logistics -- 10.6 Program of Studies on Project Management Under Digital Era and Knowledge Economy -- 10.7 Case Studies-Expert System for Airplane Structural Design -- 10.7.1 On AI and Expert System for Structural Design -- 10.7.2 Production System and Inference Network -- 10.7.3 The Building of Expert System for Airplane Structural Design -- 10.8 Internet + AI Based Engineering Application Systems -- 10.8.1 Background Information -- 10.8.2 The AI Exploration for Application Systems -- 10.9 PMO Under Internet Era -- 10.10 Summary -- 10.11 Conclusive Remarks -- References.
• Titolo autorizzato: Fuzzy Quantitative Management
• ISBN: 981-10-7688-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910755074803321
• Lo trovi qui: Univ. Federico II
• Serie: Fuzzy Management Methods Series