Flexible and generalized uncertainty optimization : theory and methods

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 u...

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Bibliographic Details
Main Authors: Lodwick, Weldon A., (Author), Thipwiwatpotjana, Phantipa, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Studies in computational intelligence ; v. 696.
Subjects:
Mathematical optimization.
Uncertainty (Information theory)
Fuzzy sets.
elektronické knihy
electronic books
ISBN: 9783319511078
9783319511054
Physical Description: 1 online resource (x, 190 pages) : illustrations (some color)

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100 1 |a Lodwick, Weldon A.,  |e author. 
245 1 0 |a Flexible and generalized uncertainty optimization :  |b theory and methods /  |c Weldon A. Lodwick, Phantipa Thipwiwatpotjana. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (x, 190 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 696 
504 |a Includes bibliographical references. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Mathematical optimization. 
650 0 |a Uncertainty (Information theory) 
650 0 |a Fuzzy sets. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Thipwiwatpotjana, Phantipa,  |e author. 
776 0 8 |i Print version:  |a Lodwick, Weldon A.  |t Flexible and generalized uncertainty optimization.  |d Cham, Switzerland : Springer, 2017  |z 9783319511054  |z 331951105X  |w (OCoLC)963914242 
830 0 |a Studies in computational intelligence ;  |v v. 696.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-51107-8  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99754  |d 99754 

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