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Analysis of short unstructured documents using fuzzy significance scales and special procedures for economic information integration

Published in № 6(84) 20 december 2019 year
Rubric: Models and Methods
Authors: Bulygina O. V., Kakatunova T., Kozlov P.

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text document, text rubrication, fuzzy significance scales

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:

Kakatunova T.

Degree:

Dr. Sci. (Econ.), Professor, Information Technologies in Economics and Management Department, Branch of the National Research University "MPEI" in Smolensk