Year: 2024
Type: article
Abstract: Methods of building a multidisciplinary expert decision support system in the field of construction have been developed. The architectural solution underlying the study is based on the theory of fuzzy sets. Software approaches to the design of specialized expert systems are considered, as well as the tasks solved by the decision support system at the stage of preparing an object for construction. The purpose of the study is to develop the architecture of an expert system consisting of logical inference systems and a set of interconnected fuzzy expert modules of the knowledge base. The objective of the research is to develop a generalized algorithm for the functioning of the expert system, the architecture of the knowledge base and a prototype of the software implementation of the expert system. As a result of the research, two software products have been developed in Python and a prototype in Matlab. Examples of interfaces and program code of the developed expert decision support system in the field of construction are given.
Author: Alexander A. Merkulov
Institution: Peoples' Friendship University of Russia
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415518497