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Protecting built property against fire disasters: multi-attribute decision making with respect to fire risk

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Date
2010
Author
Vaidogas, Egidijus Rytas
Šakėnaitė, Jurgita
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Abstract
The protection of buildings against fire disasters may require a comparison of alternative fire safety designs. The fire safety solutions can be compared by means of a general methodology known as multi-attribute selection or multi-criteria decision making. The alternative fire designs can be described by a number of attributes which characterise each of the alternatives. Fire risk expressed in the general form used for the quantitative risk assessment is applied to compose the set of attributes of a multi-attribute selection problem. It is shown how to accomplish the multi-attribute selection in the presence of epistemic uncertainties in the elements of fire risk estimate. Epistemic probability distributions assigned to elements of fire risk are specified and propagated though models of the multi-attribute selection by means of Monte Carlo simulation. An example presented in the paper considers the choice among alternative systems of automatic fire sprinklers.
 
Norint užtikrinti pastatų gaisrinę saugą, gali prireikti lyginti alternatyvius projektinius saugos sprendimus. Tai atlikti galima pasitelkiant daugiakriterinio vertinimo metodologiją. Alternatyvieji sprendimai gali būti aprašyti keletu charakteristikų (atributų) ir lyginami vienas su kitu. Straipsnyje atributų sąrašas sudaromas naudojant gaisro rizikos išraišką, sudaromą kiekybinio rizikos vertinimo principais. Parodyta, kaip atlikti daugiakriterinį vertinimą, kai rizikos išraiškos elementai yra neapibrėžti epistemine prasme. Episteminio neapibrėžtumo skirstiniai priskiriami uždavinio atributams ir propaguojami matematiniais daugiakriterinio vertinimo modeliais pasitelkiant Monte Karlo modeliavimą. Pateikiamas pavyzdys, nagrinėjantis automatinių sprinklerių sistemos parinkimą iš kelių alternatyvių variantų.
 
Issue date (year)
2010
URI
https://etalpykla.vilniustech.lt/handle/123456789/149634
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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