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Article title FUNCTIONAL STRUCTURE OF THE SYSTEM OF KNOWLEDGE EXTRACTION IN EXPERT SYSTEMS ADAPTED FOR THE SOLUTION OF APPLIED MANAGEMENT PROBLEMS
Authors A.N. Tselykh, L.A. Tselykh
Section SECTION III. THE SECURITY OF COMPLEX SYSTEMS
Month, Year 08, 2014 @en
Index UDC 004.891.2
DOI
Abstract In this paper we propose a modification of the functional structure of the system of knowledge extraction in the expert system (ES) in order to achieve the availability of user-defined functions, a sufficient level of competence and reliability of the knowledge base, and capacity for decision making in ES based on clustering the domain areas of management and creating the data bank. The aim of the study is to work out approaches to the formation of the structure of the module of knowledge extraction in ES designed for business management with specific subject area management. We give an overview of the studies on the development and promotion of ES, the identification of the causes of their use and dissemination. For effective application of the ES based on fuzzy logic and to solve management problems of management, we propose to allocate in a separate step the study of the subject area management objectives of management with the purpose of searching, identifying and standardizing them. We provide the scheme of the primary clustering of the domain area of management on the basis of the functional areas of management and functional division of labour. To adapt ES for use in small businesses, it is necessary to create a bank of standard, most common management tasks solved with the use of fuzzy logic methods which will be the tools of decision support in business management. The proposed approach adapts the knowledge base of the expert system to the level of knowledge of the user and provides relevant and available information for quick and effective solutions and business intelligence.

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Keywords Expert systems; functional module structure of knowledge extraction; data bank; clustering of the domain area of management.
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