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Fuzzy-Like Multiple Objective Multistage Decision Making (Hardcover, 2014 ed.)
Loot Price: R5,416
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Fuzzy-Like Multiple Objective Multistage Decision Making (Hardcover, 2014 ed.)
Series: Studies in Computational Intelligence, 533
Expected to ship within 12 - 17 working days
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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 in a decision making process.
This leads to the development of fuzzy-like multiple objective
multistage decision making. This book provides a thorough
understanding of the concepts of dynamic optimization from a modern
perspective and presents the state-of-the-art methodology for
modeling, analyzing and solving the most typical multiple objective
multistage decision making practical application problems under
fuzzy-like uncertainty, including the dynamic machine allocation,
closed multiclass queueing networks optimization, inventory
management, facilities planning and transportation assignment. A
number of real-world engineering case studies are used to
illustrate in detail the methodology. With its emphasis on
problem-solving and applications, this book is ideal for
researchers, practitioners, engineers, graduate students and
upper-level undergraduates in applied mathematics, management
science, operations research, information system, civil
engineering, building construction and transportation optimization
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