Flexible And Generalized Uncertainty Optimization: Theory And Methods

byWeldon A. Lodwick, Phantipa Thipwiwatpotjana

Hardcover | January 25, 2017

Flexible And Generalized Uncertainty Optimization: Theory And Methods by Weldon A. Lodwick
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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. 

Weldon Alexander Lodwick is a Full Professor of Mathematics at the University of Colorado Denver. He holds a Ph.D. degree in mathematics (1980) from the Oregon State University. He is the co-editor of the book Fuzzy Optimization: Recent Developments and Applications, Studies in Fuzziness and Soft Computing Vol. 254, Springer-Verlag Ber...
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Title:Flexible And Generalized Uncertainty Optimization: Theory And MethodsFormat:HardcoverProduct dimensions:190 pages, 9.25 X 6.1 X 0 inShipping dimensions:190 pages, 9.25 X 6.1 X 0 inPublished:January 25, 2017Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331951105X

ISBN - 13:9783319511054

Appropriate for ages: All ages

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