@inproceedings{MahdaviMathewHartkopf1997,
  author    = {Mahdavi, A. and Mathew, P. and Hartkopf, V.},
  title     = {Real-time Coupling of Multi-Domain Representational and Analytical Building Object Models via Homology-based Mapping},
  doi       = {10.25643/bauhaus-universitaet.446},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-4461},
  year      = {1997},
  abstract  = {Ideally, multiple computational building evaluation routines (particularly simulation tools) should be coupled in real-time to the representational design model to provide timely performance feed-back to the system user. In this paper we demonstrate how this can be achieved effectively and conveniently via homology-based mapping. We consider two models as homologous if they entail isomorphic topological information. If the general design representation (i.e., a shared object model) is generated in a manner so as to include both the topological building information and pointers to the semantic information base, it can be used to directly derive the domain representations (>enriched< object models with detailed configurational information and filtered semantic data) needed for evaluation purposes. As a proof of concept, we demonstrate a computational design environment that dynamically links an object-oriented space-based design model, with structurally homologous object models of various simulation routines.},
  subject      = {Geb{\"a}ude},
  language  = {en}
}
@inproceedings{MenzelGarrettMahdavietal.1997,
  author    = {Menzel, Karsten and Garrett, James H. and Mahdavi, A. and Ries, R.},
  title     = {Processing "fuzzy" materials sets for environmental impact analysis of buildings},
  doi       = {10.25643/bauhaus-universitaet.450},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-4500},
  year      = {1997},
  abstract  = {Processing technical and environmental data on building materials, components, and systems has become more important during the last few years. Increased sensitivity towards environmental and energy problems has lead to the demand for simulation and evaluation of the long term behavior of buildings. The results of such simulations are expected to enable architects and engineers to develop a broader, interdisciplinary understanding of the impact of their products (buildings) on the environment. However, conducting such evaluations is currently hampered by the lack of comprehensive, up-to-date, and ecologically relevant data on building materials, components, and systems. To address this problem, this paper proposes an approach to deal with the absent or uncertain attributes of building materials, components, and systems. In the past, various information systems have been developed to provide data on a limited set of building materials, including precise values pertaining to some of their characteristics, such as availability, manufacturers, costs, etc. These traditional information systems have difficulty in dealing with uncertain, incomplete and sparse data. However, uncertainty and incompleteness characterize the nature of most of the available and environmentally related characteristics of materials, components, and systems. In this paper, a fuzzy-logic-based augmentation of traditional information systems is proposed towards providing management, utilization and manipulation of incomplete and uncertain data.},
  subject      = {Bauwerk},
  language  = {en}
}