Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist...

This book presents the state-of-the-art methodology for modeling, analyzing and solving multiple objective multistage decision making practical application problems under fuzzy-like uncertainty. Includes real-world engineering case studies.