000 04048nam a22005295i 4500
001 978-3-642-03735-1
003 DE-He213
005 20140220084525.0
007 cr nn 008mamaa
008 130503s2010 gw | s |||| 0|eng d
020 _a9783642037351
_9978-3-642-03735-1
024 7 _a10.1007/978-3-642-03735-1
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aMarti, Kurt.
_eeditor.
245 1 0 _aCoping with Uncertainty
_h[electronic resource] :
_bRobust Solutions /
_cedited by Kurt Marti, Yuri Ermoliev, Marek Makowski.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXVI, 277 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v633
505 0 _aGeneral Remarks on Robust Solutions -- Modeling of Uncertainty and Probabilistic Issues -- On Joint Modelling of Random Uncertainty and Fuzzy Imprecision -- On the Approximation of a Discrete Multivariate Probability Distribution Using the New Concept of -Cherry Junction Tree -- Robust Solutions under Uncertainty -- Induced Discounting and Risk Management -- Cost Effective and Environmentally Safe Emission Trading Under Uncertainty -- Robust Design of Networks Under Risks -- Analysis and Optimization of Technical Systems and Structures under Uncertainty -- Optimal Ellipsoidal Estimates of Uncertain Systems: An Overview and New Results -- Expected Total Cost Minimum Design of Plane Frames by Means of Stochastic Linear Programming Methods -- Analysis and Optimization of Economic and Engineering Systems under Uncertainty -- Uncertainty in the Future Nitrogen Load to the Baltic Sea Due to Uncertain Meteorological Conditions -- Planning Sustainable Agricultural Development Under Risks -- Dealing with Uncertainty in GHG Inventories: How to Go About It? -- Uncertainty Analysis of Weather Controlled Systems -- Estimation of the Error in Carbon Dioxide Column Abundances Retrieved from GOSAT Data.
520 _aSupport for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios.
650 0 _aEconomics.
650 0 _aMathematical optimization.
650 0 _aEngineering.
650 0 _aEngineering design.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aOptimization.
650 2 4 _aComputational Intelligence.
650 2 4 _aEngineering Design.
700 1 _aErmoliev, Yuri.
_eeditor.
700 1 _aMakowski, Marek.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642037344
830 0 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v633
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-03735-1
912 _aZDB-2-SBE
999 _c111535
_d111535