Paramonov A. Interpretation of text information on the basis of fuzzy conceptual models

Object of research: natural language text information. The purpose of research: increase of efficiency of the business-process automation systems, due to the im-provement of the automated system of text information interpretation. Methods of research: methods of infor-mation defense, in particular, defense of knowledge ex-traction, expert estimations, knowledge representation, processing and analysis of naturally language texts, un-clear set, unclear situation conclusion, construction of the distributed informative systems, analysis of financial data, design and programming theory. Theoretical and practical results: models of knowledge representation, which are contained in text information, can be fixed in basis of formal instrument creation of knowledge con-clusion methods on which are examined in artificial in-telligence, such as a conclusion on the basis of expe-rience, conclusion on precedents and other. Developed a method and models of text interpretation promote effi-ciency of the information search systems. Novelty: the hybrid model of knowledge representation which con-tained in the electronic texts documents, and new method of text information interpretation, is developed, which in a difference from existing complex examine the process of natural language understanding.A degree of introduction: developed automated system of text interpretation as an intellectual search system on an enterprise in area of financial markets; the developed models and method are used on the site of the Donetsk national university and inculcated in a scientific process on the department of «Computer Technologies» of the Donetsk national university on the course of “Artificial Intelligence System”. Area of use: interbranch.