| Description |
1 online resource |
| Series |
Advances in intelligent systems and computing ; 572 |
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Advances in intelligent systems and computing ; 572.
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| Contents |
Preface; Contents; Multiple Criteria Analysis in Transportation and Logistics; References; The Methodology of Multiple Criteria Decision Making/Aiding in Transportation; Abstract; 1 Introduction; 2 The Methodology of Multiple Criteria Decision Making/Aiding (MCDM/A); 2.1 The Formal Definition of the Field and Its Major Features; 2.2 Basic Notions, Principles and Concepts; 2.3 Solution Procedures of the Multiple Criteria Decision Problems. MCDM/A Methods, Tools and Comput ... ; 3 The Application of MCDM/A Methodology in Transportation. Selected Case Study |
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3.1 Overall Characteristics of the Presented Decision Problems3.2 Multiple Criteria Fleet Selection Problem -- Evaluation of Alternative Tram Makes/Models for a Pu ... ; 3.2.1 The Background of the Fleet Selection Problem; 3.2.2 Verbal Description of the Tram Selection Problem; 3.2.3 Definition of Variants and a Consistent Family of Criteria; 3.2.4 Modeling of DM's and Stakeholders' Preferences; 3.2.5 Evaluation and Selection of Appropriate MCDM/A Methods. Major Features of the AHP and ELECTRE .. |
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3.2.6 Computational Experiments and Analysis of Generated Results. Selection of the Most Desired Sol ... 4 Conclusions; References; The Multi-Actor Multi-Criteria Analysis (MAMCA) Tool: Methodological Adaptations and Visualizations; 1 Introduction; 2 Related Work; 3 MAMCA Methodology; 4 MAMCA Software; 4.1 Alternatives; 4.2 Stakeholder Analysis; 4.3 Criteria and Weights; 4.4 Evaluation; 4.5 Results; 5 Discussion and Future Work; 6 Conclusion; References; Dealing with the Complexity of Stakeholder Interaction in Participatory Transport Planning; Abstract |
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1 Stakeholder Engagement in Transport Planning2 Materials and Methods; 2.1 Analytic Hierarchy Process; 2.2 Voting Methods; 2.3 Consensus Measure via Overlap; 2.4 Social Network Analysis; 2.5 Agent-Based Model of Stakeholder Interaction; 3 Case Study; 3.1 Results of the Experiment; 3.2 Simulation Results; 4 Discussion and Conclusions; References; A Methodology of Redesigning and Evaluating Medium-Sized Public Transportation Systems; Abstract; 1 Introduction; 2 Multiple Criteria Decision Making/Aiding (MCDM/A); 2.1 Basic Concepts and Terms of MCDM/A; 3 The Redesign of the Mass Transit System |
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3.1 Problem Statement3.2 Description of Variants; 3.3 Definition of the Family of Criteria; 3.4 Computational Experiments; 4 Conclusions; References; A Framework for Solving Real-Time Multi-objective VRP; Abstract; 1 Introduction; 2 Literature Review; 2.1 Multi-objective VRP; 2.2 Dynamic VRP; 2.3 Multi-criteria Decision Making; 3 Posteriori Decision Making Framework for Solving Real-Time Multi-objective Vehicle Routing Problems; 4 A Case Study Example; 5 Summary; References; Multiple Criteria Evaluation of Suppliers in Different Industries -- Comparative Analysis of Three Case Studies |
| Summary |
This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015?2017). The respective chapters present the results of various research projects carried out by the members of the EWGT and extended versions of presentations given at the last several meetings of the EWGT. The book offers a representative sampling of the EWGT?s research activities and covers the state-of-the-art in quantitative oriented transportation/logistics research. It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics; Urban Transportation and City Logistics; Road Safety and Artificial Intelligence and Soft Computing in Transportation and Logistics. The book is intended for academics/researchers, analysts, business consultants, and graduate students who are interested in advanced techniques of mathematical modeling and computational procedures applied in transportation and logistics |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed July 17, 2017) |
| Subject |
Transportation, Automotive -- Mathematical models
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Business logistics -- Mathematical models
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Multiple criteria decision making.
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Artificial intelligence.
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Engineering: general.
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BUSINESS & ECONOMICS -- Industries -- Transportation.
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TRANSPORTATION -- Public Transportation.
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Business logistics -- Mathematical models
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Multiple criteria decision making
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Transportation, Automotive -- Mathematical models
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| Form |
Electronic book
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| Author |
Żak, Jacek, editor.
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Hadas, Yuval, editor
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Rossi, Riccardo, 1981- editor.
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| ISBN |
9783319571058 |
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3319571052 |
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3319571044 |
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9783319571041 |
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