LEADER 02561nam 2200361z- 450 001 9910346712303321 005 20210212 010 $a1000007378 035 $a(CKB)4920000000094571 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61515 035 $a(oapen)doab61515 035 $a(EXLCZ)994920000000094571 100 $a20202102d2008 u| 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aUncertainty handling in multi-attribute decision support for industrial risk management 210 $cKIT Scientific Publishing$d2008 215 $a1 online resource (X, 202 p. p.) 311 08$a3-86644-207-6 330 $aThe complexity of today's industrial production networks constitutes a new challenge for industrial risk and safety management. In order to handle potential risks to and emanating from industry and their respective impact on mankind as well as the environment, an integrated approach to industrial risk management is needed, since complex decision situations need to be resolved requiring input from diverse scientific disciplines and the consideration of various often conflicting criteria. Providing the basis for the evaluation of such conflicting criteria and for bringing together existing knowledge from different disciplines, approaches from Multi-Criteria Decision Analysis (MCDA) can be very helpful to resolve the complexity of the occurring decision situations. In order to address the various types of uncertainty, which may arise in a decision making process in industrial risk management, a framework for uncertainty handling is proposed. On the basis of a structured uncertainty classification, methods based on Monte Carlo simulation can be used for a consistent modelling, propagation and visualisation of the different types of uncertainty. Special focus is put on approaches that allow to explicitly illustrate the spread, i.e. the ranges in which the Multi-Attribute Decision Making (MADM) results can vary in consequence of the uncertainties. 610 $aEntscheidung bei Unsicherheit 610 $aEntscheidungsunterstu?tzung 610 $aIndustrielles Risikomanagement 610 $aMultikriterielle Entscheidungsfindung 610 $aTechnikbewertung 700 $aBertsch$b Valentin$4auth$01309827 906 $aBOOK 912 $a9910346712303321 996 $aUncertainty handling in multi-attribute decision support for industrial risk management$93029624 997 $aUNINA