Abstract
In this paper decision support algorithm for choosing the processing means of natural language big data arrays is proposed. In the process the algorithm uses the program for evaluating the effectiveness of text analyzers. This program is based on the operation of a fuzzy choice system, which serves to calculate the integral indicator of the text analyzer effectiveness. The quality and efficiency of getting answers to test questions are taken into account when evaluating the effectiveness of text analyzers.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
SyTech. http://www.sytech.ru/about.php?ic=60. Accessed 2019.
AskNet. http://asknet.ru/.Accessed 2019.
RCO. http://www.rco.ru/. Accessed 2019.
Business Robotics, http://ontos.com/. Accessed 2019.
Information and Analytical System ARION. http://sytech.ru/about.php?id=5. Accessed 2019.
N. Rvachova, G. Sokol, K. Polschykov, and J. Davies, “Selecting the intersegment interval for TCP in Telecomms networks using fuzzy inference system,” in Proceedings of the 6th International Conference on 2015 Internet Technologies and Applications (ITA), Glyndwr Univ., Wrexham, 2015, pp. 256–260.
K. Polshchykov, Y. Zdorenko, and M. Masesov, “Neuro-fuzzy system for prediction of telecommunication channel load,” in Problems of Infocommunications Science and Technology, Proceedings of the 2nd International Scientific-Practical Conference, Kharkiv, 2015, pp. 33–34.
O. Ivaschuk, K. Polschykov, and S. Lazarev, et al., “Integral estimate of terrestrial compartment condition in management of Biotechnosphere of Rural and Urban Areas,” Int. J. Pharm. Technol. 8, 27032–27038 (2016).
I. Konstantinov, K. Polshchykov, and S. Lazarev, “The algorithm for neuro-fuzzy controlling the intensity of retransmission in a mobile ad-hoc network,” Int. J. Appl. Math. Stat. 56 (2), 85–90 (2017).
I. Konstantinov, K. Polshchykov, and S. Lazarev, “Model of neuro-fuzzy prediction of confirmation timeout in a mobile ad hoc network,” CEUR Workshop Proc, Math. Inform. Technol. 1839, 174–186 (2017).
K. Polshchykov, S. Lazarev, and A. Zdorovtsov, “Neuro-fuzzy control of data sending in a mobile ad hoc network,” J. Fundam. Appl. Sci. 9, 1494–1501 (2017).
T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modeling and control,” IEEE Trans. Syst, Man, Cybern. 15, 116–132 (1985).
Funding
This article contains the results of the project “Development of tools for implementation of natural-language systems for processing big data” carried out within the framework of the implementation of the Program of the Center for Competence of the National Technology Initiative “Big Data Storage and Analysis Center”, supported by the Ministry of Science and Higher Education of the Russian Federation under the Lomonosov MSU with the Fund for Support of Projects of the National Technology Initiative no. 13/1251/2018 dated December 11, 2018.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Submitted by Vl. V. Voevodin
Rights and permissions
About this article
Cite this article
Polshchykov, K., Lazarev, S., Polshchykova, O. et al. The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data. Lobachevskii J Math 40, 1831–1836 (2019). https://doi.org/10.1134/S1995080219110222
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1995080219110222