CONCEPTUAL FOUNDATIONS OF THE EXPERT SYSTEM OF BIOCLIMATIC MODELING

The article is devoted to the theoretical substantiation of the structure of the Expert System for Bioclimatic Modeling and the disclosure of its functioning mechanisms. The main goal is to develop the conceptual framework of an expert system as an innovative tool to support analytical and creative decision-making in architectural design. The system is designed to integrate a variety of multi-parameter data, including climatic conditions, characteristics of architectural objects, etc. to generate optimal bioclimatic recommendations. In the course of the study, a set of scientific methods was used to develop the structure of the expert system. System analysis was used to identify the key components of the system and their interrelationships. Cluster analysis was used to develop the structure of the knowledge base for effective organization and systematization of information. Information system modeling techniques were used to develop a model of interaction between the expert system modules, including the database, rule base, and solver. Expert evaluation methods were used to fill the knowledge base and evaluate the parameters of design decisions. A multi-criteria approach was used to process fuzzy data and make decisions in the face of the complexity and multiplicity of bioclimatic modeling criteria. The results of the study present the conceptual structure of the expert system, where a hybrid knowledge base combining declarative and procedural knowledge, a modular database structure, the use of the heuristic method "IF-THET" in the rule base, and a hierarchical system based on a decision tree are proposed to effectively process complex information and generate optimal bioclimatic recommendations. Further research is planned to focus on the practical implementation and validation of the developed system, expanding its functionality by integrating with other design tools, and using machine learning methods to automatically update the knowledge base.