This book presents a collection of recent work that applies new and sophisticated computational techniques to manage uncertainty. This book expands the focus to more contemporary approaches, including fuzzy logic, artificial intelligence (AI), machine learning, and multi-criteria decision-making, as well as other methods to solve problems. The chapters of this book describe various applications in critical areas of various disciplines such as the design and optimization of sustainable infrastructure, management of e-waste recycling networks, improvements in cyber security, and social media and toxic content classification. The shift from the opaque “black-box” models to transparent systems that explain the justification and the logic of the predictions is a key factor for model trust. This book is essential for those who seek computational intelligence for rational decision-making under uncertainty.
This book presents a collection of recent work that applies new and sophisticated computational techniques to manage uncertainty. This book expands the focus to more contemporary approaches, including fuzzy logic, artificial intelligence (AI), machine learning, and multi-criteria decision-making, as well as other methods to solve problems. The chapters of this book describe various applications in critical areas of various disciplines such as the design and optimization of sustainable infrastructure, management of e-waste recycling networks, improvements in cyber security, and social media and toxic content classification. The shift from the opaque “black-box” models to transparent systems that explain the justification and the logic of the predictions is a key factor for model trust. This book is essential for those who seek computational intelligence for rational decision-making under uncertainty.
Masoomeh Mirrashid
Decision-Making Framework Smart mobility Intelligent transport network Multi-Criteria Group Decision Making Green cities XSS-Shield Quartic Fuzzy Environment Multi- Objective Linear Programming