EVALUATION OF SPATIAL SOLUTIONS THROUGH MULTIPARAMETRIC MODELS
Creators: name: Berčič, Tomaž
Publisher: name: Zenodo
Year: 2021
Subjects: decision-making in architecture, multi-criteria decision-making methods, architectural competitions, decision-making process, decision support

description: Decision-making in architectural and urban design is a process of selecting the alternative solution to the spatial problem that best meets the set goals and requirements. The spatial planning process is based on the creation of a set of solutions that are sorted, analysed and finally selected, discarded or evaluated in the process and ranked in relation to other solutions. The planning process is based on the physical simulation of the space - drawings and models - and the abstract model's digital (computer) simulation. The research objective is to present the possibility of using multicriteria evaluation models in the selection of spatial solutions, to implement (realise) the model in Rhino 6 environment, to test the model on the example of current architectural competition<br> and to test and compare six methods of multicriteria evaluation for proposed spatial solutions; analysis of advantages and disadvantages, PMI method, Abacon method, K-T method, MAUT method and DEX methodology. To test the hypothesis and research questions, documentation was selected from a closed, public, project-based, open, anonymous, single-stage architectural competition. The chosen solutions were evaluated using the six methods. For the first three selected multicriteria methods, we can state that they are very subjective, not too precise and as such unsuitable for evaluating solutions to the spatial problem. The K-T and MAUT methods are both more objective and more suitable for evaluation in the design process in different cases. The DEX method is representative of multi-criteria methods that use symbolic parameters in evaluation. According to the defined criteria, the MAUT method of multicriteria decision-making has proved to be the best or most helpful method among the analysed methods.
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