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Using fuzzy decision trees to rubricate unstructured small-sized text documents

Published in № 5(83) 25 october 2019 year
Rubric: Performance management
Authors: Dli M. I., Bulygina O. V., Kozlov P.

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electronic unstructured text documents, rubrication, fuzzy decision trees

The author:

Dli M. I.

Degree:

Dr. Sci. (Eng.), Professor, Information Technologies in Economics and Management Department, Branch of the National Research University “MPEI” in Smolensk, Smolensk; Leading Researcher, Synergy University

Location:

Smolensk, Russia

All articles:

Method for intellectual management of industrial enterprise information resources

Constructing integrated model for risk management of metallurgical enterprise

Information and transport networks projects management under uncertainty

A three-level fuzzy cognitive model for region innovation development analysis

The trajectory estimation model for project management in creation and organization of high-technology industrial products production

Simulation modeling and fuzzy logic in real-time decision-making of airport services

Outsource-using integration methods of business entities information systems

Economical information system lifecycle management based on decentralized application theory

Formation of the structure of the intellectual system of analyzing and rubricating unstructured text information in different situations

Developing the economic information system for automated analysis of unstructured text documents

Algorithms for the formation of images of the states of objects for their analysis by dee

The author:

Bulygina O. V.

Degree:

Cand. Sci. (Econ.), Associate Professor, department of Information Technology in Economics and Management, the Branch of National Research University MPEI in Smolensk