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Record Nr. |
UNINA9910254170903321 |
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Autore |
Lodwick Weldon A |
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Titolo |
Flexible and Generalized Uncertainty Optimization : Theory and Methods / / by Weldon A. Lodwick, Phantipa Thipwiwatpotjana |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (X, 190 p. 32 illus., 16 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-949X ; ; 696 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Operations research |
Management science |
Probabilities |
Computational Intelligence |
Operations Research, Management Science |
Probability Theory and Stochastic Processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. . |
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Sommario/riassunto |
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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 |
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