This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applicat

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real application

This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive ill

Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environmen

This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products