18 August 2026

Digital transformation in architectural design education: An innovative BAP project supported by fuzzy logic.

Istanbul Gelisim University (IGU), Faculty of Fine Arts, Department of Interior Architecture, has had its BAP project, led by Dr. Parvin Heidari and with Dr. Ece Cantemir as a researcher, awarded funding. The project aims to digitize the evaluation processes in architecture and interior architecture studios using a "fuzzy logic" approach, providing a fair, objective, and measurable decision support model.

Istanbul Gelisim University (IGU) continues to produce innovative solutions in higher education with high-quality scientific research led by its academics. The "FHIZ-2026-447" Rapid Support Project (BAP), led by Dr. Parvin Heidari, a faculty member in the Department of Interior Architecture at the Faculty of Fine Arts, and with Dr. Ece Cantemir, a faculty member in the Department of Interior Architecture and Environmental Design, as the researcher, has been awarded funding within the scope of the Science and Engineering group.
 
"Fair and Objective" Evaluation Model in Design Studios
 
The study, titled "Modeling the Criterion-Score Relationship in Design Studio Projects with Fuzzy Logic and Creating a Fair Evaluation Tool," focuses on the jury evaluation processes in studio courses, which form the heart of architecture and interior architecture education. The research, which aims to transform the ambiguous and vague evaluation criteria used in studio classes into a numerical and objective system, will examine the following main topics:
  • Conceptual approach
  • Functionality
  • Technical competence
  • Contextual sensitivity
  • Presentation skills
The relationship between the evaluation criteria used by jury members and the scores given will be modeled using a fuzzy logic approach; membership functions and a rule base for the criteria will be created based on the data obtained.
Providing Infrastructure for AI-Supported Evaluation Systems
In the second phase of the study, a decision support model will be established for calculating the project score by mapping the relationships between the criteria through the developed fuzzy inference system. The accuracy and reliability of the model will be tested by conducting comparative analyses with real jury evaluation results.
Thanks to the digital web interface and decision support tool to be developed, the transparency, consistency, and fairness of evaluation processes in architectural design education will be increased. In addition, it is aimed that the outputs obtained will provide a strong infrastructure that can be integrated into AI-based evaluation systems in the future.