Print Email Facebook Twitter A Fuzzy-Neural Tree Knowledge Model for the Assessment of Building’s Transformation Title A Fuzzy-Neural Tree Knowledge Model for the Assessment of Building’s Transformation Author Durmisevic, S. Ciftcioglu, O. Faculty Architecture and The Built Environment Date 2007-08-01 Abstract One building is more flexible in terms of use than the other and to determine how much a building ‘X’ is more flexible than a building ‘Y’ is a rather complex task. This research focuses on houses for the elderly in terms of future use, since the requirements have changed and many of the existing buildings do not meet new requirements. To asses a transformation of a building one needs to take many aspects into account such as: spatial transformation, technical transformation and their various sub-aspects. There are also different future use scenarios, defined by Netherlands Board for Healthcare Institutions, and one scenario is more suitable for a building than another. Firstly, in order to deal with this complex topic there is a need for a systematic approach where all relevant aspects determining a transformation value of a building will be defined. Thereafter, fuzzy-neural tree structure is used as a suitable method for knowledge representation and knowledge modeling. To reference this document use: http://resolver.tudelft.nl/uuid:7f308655-6f41-41fc-93c0-58d9dc919aae Publisher IOS Press ISBN 9781586037857 Source Portugal SB07: Sustainable Construction, Materials and Practices Part of collection Institutional Repository Document type conference paper Rights (c) 2007 The Author(s)IOS Press Files PDF 00004_fuzzy_neural_tree.pdf 295.63 KB Close viewer /islandora/object/uuid:7f308655-6f41-41fc-93c0-58d9dc919aae/datastream/OBJ/view