Basteyev D. Knowledge based methods and information technology decision support in aircraft building industry

The object of a research is the forming and decision-making process about the production organization by management staff in the engineering companies. The goal of a study is to improve the efficiency of decision-making by managers in the company of aviation production profile by means of methods and information technology creation of expert systems based on a conceptual model of knowledge. Basic methods of the research along with the methods of engineering knowledge, which were used in creation of logical conclusion combined method, are operational semantics for deductive logical conclusion method creation as well as sections of artificial intelligence for representation of conceptual knowledge. Scientific value importance of the results determined that they develop methods of analysis and synthesis of expert systems, methods of engineering knowledge and apparatus operational semantics. Practical values lies in bringing all theoretical provisions to specific techniques, algorithms and operating software-tool IDSS "Cascade" as the kernel of new information technology. For the first time logical conclusion combined method developed, which based on the use of alternately ascending and descending findings among conceptual knowledge model, which made it possible to eliminate the contradictions and incomplete knowledge. Improved logical deductive method, by using a conceptual model of consistency knowledge in forming the chain of output, making possible to take into account the connection between the concepts subsidiaries subject area and thereby ensure the correctness of knowledge base. Information technology for expert systems creation obtained further development as a conceptual kernel of knowledge that provides effective solutions for managerial staff in enterprises of aviation profile. Introduction is branch – based. The further use of results obtained in the dissertation are useful in research, design and production in the organizations that involved in the projects of expert systems implementing and development on aviation profile enterprises.