(in Polish)
Magdalena Apollo,
Marian W. Kembłowski
Volume 526; Issue 6
Pages 48-49
Accepted for publication: 13.04.2016 r.
The aim of this article is to present an object-oriented Bayesian network (OOBN) which not only allows decomposition of a complex model into individual objects reflecting different groups of issues but also allows modeling time dependencies between objects. The use of OOBN was presented on the example of urban regeneration project. The authors present both disadvantages and advantages of OOBN in terms of diagnostic and prognostic efficiency.
Keywords: Bayesian Networks, urban regeneration, investment risk.
Keywords: Bayesian Networks, urban regeneration, investment risk.
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Magdalena Apollo, MSc. Eng. - Gdańsk University of Technology, Faculty of Civil and Environmental Engineering
Marian W. Kembłowski, Ph. D. Eng. - Associate Professor - Gdańsk University of Technology, Faculty of Civil and Environmental Engineering
Marian W. Kembłowski, Ph. D. Eng. - Associate Professor - Gdańsk University of Technology, Faculty of Civil and Environmental Engineering
Magdalena Apollo, MSc. Eng.
Full paper is available at Publisher house SIGMA-NOT Sp. z o.o. webpage