000 03579nam a22005295i 4500
999 _c12168
_d12168
001 978-3-319-51107-8
003 DE-He213
005 20211201140549.0
008 170119s2017 gw | s |||| 0|eng d
020 _a9783319511078
040 _cAIKTC-KRRC
041 _aENG
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aLodwick, Weldon A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFlexible and Generalized Uncertainty Optimization
_h[electronic resource] :
_bTheory and Methods /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aX, 190 p. 32 illus., 16 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v696
520 _aThis 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. .
650 0 _aMechanical Engineering
_94626
653 _aOperations Research, Management Science.
653 _aProbability Theory and Stochastic Processes.
700 1 _aThipwiwatpotjana, Phantipa.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319511054
776 0 8 _iPrinted edition:
_z9783319511061
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v696
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51107-8
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc