A Proposed Framework for Automated Evaluation of Architectural Spatial Configurations Using Fuzzy Logic Approach

Abstract

Architectural spatial layout configurations are the result of a complex design process aiming at managing the most advantageous location of all spaces with certain objectives and constraints. In the presence of broadening the scope of understanding spatial configuration, its role, and its composition in scope of various programmatic, ideological, formal, and engineering aspects, embedded in a complex theoretical background. The aspect of evaluation was the least apparent and there were significant limitations to what can be achieved there. This paper is aiming at evaluating functionality (such as quality of space, use, Access, adjacency, non-adjacency, proximity etc.), build quality (such as performance, efficiency, cost, etc.), impact (such as user performance, internal quality, urban, social, and cultural integration, etc.), indication of the quality of the architectural space design and the quality of the layout configuration. To achieve this research goal, we devised all possible spatial relation, affecting these qualities, as inputs for a given architectural space using descriptive rule blocks. We defined this fuzzy logic system for residential spaces that has been blended into a layout to evaluate the layout configuration. We defined all input variables, output variables, and fuzzy sets, and present space-space relations using membership functions. The paper proposes a framework based on fuzzy logic approach for automated evaluation of architectural spatial layout configurations.