The book "Theory and Practice of Uncertain Programming" by Baoding Liu, published as part of the "Studies in Fuzziness and Soft Computing" series, provides a comprehensive and up-to-date presentation of uncertain programming theory. The book is divided into seven parts, covering fundamental concepts, stochastic programming, fuzzy programming, rough programming, fuzzy random programming, random fuzzy programming, and multifold uncertainty. It includes numerous modeling ideas and applications in various fields such as transportation, inventory systems, production processes, and facility location. The author also discusses a range of hybrid intelligent algorithms, such as genetic algorithms, neural networks, simulated annealing, and tabu search, and provides C++ source files for these algorithms on a dedicated website. The book is intended for researchers, engineers, and students in operations research, management science, information science, system science, computer science, and engineering.The book "Theory and Practice of Uncertain Programming" by Baoding Liu, published as part of the "Studies in Fuzziness and Soft Computing" series, provides a comprehensive and up-to-date presentation of uncertain programming theory. The book is divided into seven parts, covering fundamental concepts, stochastic programming, fuzzy programming, rough programming, fuzzy random programming, random fuzzy programming, and multifold uncertainty. It includes numerous modeling ideas and applications in various fields such as transportation, inventory systems, production processes, and facility location. The author also discusses a range of hybrid intelligent algorithms, such as genetic algorithms, neural networks, simulated annealing, and tabu search, and provides C++ source files for these algorithms on a dedicated website. The book is intended for researchers, engineers, and students in operations research, management science, information science, system science, computer science, and engineering.