Advanced Decision-Making Under Uncertainty

Introduction

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.

Applications

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.

Model Transparency

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.

Target Audience

This book is essential for those who seek computational intelligence for rational decision-making under uncertainty.