Actions for Flexible and Generalized Uncertainty Optimization [electronic resource] : Theory and Methods

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Flexible and Generalized Uncertainty Optimization [electronic resource] : Theory and Methods / by Weldon A. Lodwick, Phantipa Thipwiwatpotjana

Author
Lodwick, Weldon A.
Published
Cham : Springer International Publishing : Imprint: Springer, 2017.
Physical Description
X, 190 pages 32 illustrations, 16 illustrations in color : online resource
Additional Creators
Thipwiwatpotjana, Phantipa and SpringerLink (Online service)
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Series
Contents
1 An Introduction to Generalized Uncertainty Optimization -- 2 Generalized Uncertainty Theory: A Language for Information Deficiency -- 3 The Construction of Flexible and Generalized Uncertainty Optimization Input Data -- 4 An Overview of Flexible and Generalized Uncertainty Optimization -- 5 Flexible Optimization -- 6 Generalized Uncertainty Optimization -- References. .
Summary
This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and that more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of such a model in detail. All in all, the book provides the readers with the necessary background to understand flexible and generalized uncertainty optimization and develop their own optimization model. .
Subject(s)
ISBN
9783319511078
Digital File Characteristics
text file PDF
Part Of
Springer eBooks
View MARC record | catkey: 19570370