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Rubrication of text documents based on fuzzy difference relations

Published in № 3(87) 06 june 2020 year
Rubric: Algorithmic efficiency
Authors: Borisov V. V., Bulygina O. V., Dli M. I., Kozlov P.

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RUBRICATION, ELECTRONIC UNSTRUCTURED DOCUMENT, SYNTACTIC CHARACTERISTIC, FUZZY DIFFERENCE, HIERARCHICAL CLUSTERING, FUZZY CORRESPONDENCE, рубрицирование, электронный неструктурированный документ, синтаксическая характеристика, нечеткое различие, иерархическая кластеризация, нечеткое соответствие

The author:

Borisov V. V.

Degree:

Professor, department of Computer Engineering, the Branch of National Research University MPEI in Smolensk

Location:

Smolensk, Russia

All articles:

Modeling and design of information-analytical production processes based on neuro-fuzzy temporal Petri nets

Rubrication of text documents based on fuzzy difference relations

Fuzzy cognitive modeling of heterogeneous electromechanical systems

Modeling of educational processes based on neuro-fuzzy temporal Petri nets

Fuzzy relational cognitive temporal models for analyzing and state prediction of complex technical systems

Rubrication of text documents based on fuzzy difference relations

Solving the inverse kinematics problem for sequential robot manipulators based on fuzzy numerical methods

Intelligent support for managing the processing of ore raw materials based on case management and ontological models

The use of coevolutionary algorithms for optimizing the operating regimes of the roasting conveyor machine

Mathematical modeling of electromechanical model of exoskeleton with three active controlled links

Scenario-information analysis and modeling of adaptive training of specialists groups based on a fuzzy

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

Location:

Smolensk

All articles:

Tools of organizational change management using swarm intelligence methods

Synergy and evolution of information systems in holding management

Analysis of the feasibility of innovative projects for creating high technology products: the algorithms and instruments

System analysis of risky project realization using special scales (for example

investment processes)

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

Assigning priorities in technological hubs using simulation and fuzzy logic

Complex simulation using genetic algorithms

Bacterial optimization and complex swarm-simulation modeling of innovative projects’ promotion into the regions

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

Hybrid cyber-modeling in economics: actor-network theory

simulation

NON-factors and super fuzzy logic

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