Intro
Foreword
Preface
Acknowledgments
Contents
List of Figures
List of Tables
List of Algorithms
Part I Motivation and Objectives
1 Introduction
1.1 Background and Motivation
1.2 Research Objectives and Questions
1.3 Methodology
1.3.1 Design Science Research
1.3.2 Transdisciplinary Research
1.4 Outline
1.5 Own Research Contribution
References
Part II Theoretical Background
2 Insights into Smart Cities and Smart Logistics
2.1 Smart Cities
2.1.1 Cognitive and Human-Smart Cities
2.1.2 Digital Ethics in Smart City Solutions

2.1.2.1 Legal Perspective
2.1.2.2 IT Perspective
2.1.2.3 Citizen Perspective
2.2 Smart Mobility and Smart Logistics
2.2.1 Current Research in Smart Logistics
2.2.2 Trends and Challenges
2.3 The Last-Mile Delivery
2.3.1 Last-Mile Issues
2.3.2 Last Mile at Swiss Post
2.4 Final Remarks
2.5 Further Readings
References
3 Computational Intelligence
3.1 Overview of Fuzzy Logic Approaches
3.1.1 Fuzzy Sets Theory
3.1.1.1 Types of Membership functions
3.1.1.2 Type-2 Fuzzy Sets
3.1.2 Linguistic Variables
3.1.3 Linguistic Summaries

3.1.4 Fuzzy Inference
3.1.4.1 Fuzzy Inference and Fuzzy Rules
3.1.4.2 Fuzzy Inference Systems
3.1.5 Design Criteria and Constraints for Fuzzy Systems
3.1.5.1 Design Criteria and Constraints for Fuzzy Sets
3.1.5.2 Design Criteria for Linguistic Variables
3.1.5.3 Design Criteria and Constraints for Fuzzy Rules
3.2 Swarm Intelligence
3.2.1 Basics of Swarm Intelligence
3.2.2 Ant Colony Optimization
3.2.3 Fuzzy Ant System Principles
3.2.4 Trends and Challenges in Swarm Intelligence Applications
3.2.4.1 Current Trends
3.2.4.2 Outlook and Challenges

3.3 Final Remarks
3.4 Further Readings
References
Part III Applications
4 Fuzzifying Geospatial Traffic Data to Convey Information
4.1 Critical Traffic Areas Identification
4.1.1 Conceptual Development
4.1.2 Type-2 Fuzzy Sets and Traffic Models
4.1.3 Framework and Artifact Design
4.1.3.1 Data Cleaner
4.1.3.2 Fuzzifier
4.1.3.3 Fuzzy Inference Engine
4.1.3.4 Visualizer
4.1.4 Implementation and Results
4.1.4.1 Fuzzification and Inference
4.1.4.2 Verification of the Design Criteria for Fuzzy Sets
4.1.4.3 Visualization

4.1.5 Summary and Lessons Learned
4.2 Linguistic Summarization of Traffic Data
4.2.1 Conceptual Development
4.2.2 Linguistic Summaries for Traffic
4.2.3 Framework and Artifact Design
4.2.3.1 Data Selection and Aggregation
4.2.3.2 Linguistic Summaries Mining
4.2.3.3 Visualization of Results
4.2.4 Implementation and Results
4.2.4.1 Linguistic Summaries Mining
4.2.4.2 Verification of the Design Criteria for Linguistic Variables
4.2.5 Visualization of Results
4.2.6 User's Evaluation
4.2.7 Summary and Lessons Learned
4.3 Final Remarks
4.4 Further Readings