Cognitive Modeling and Formation of the Knowledge Base of the Information System for Assessing the Rating of Enterprises
Abstract
A mathematical model is proposed that makes it possible to describe in a conceptual and functional aspect the formation and application of a knowledge base (KB) for an intelligent information system (IIS). This IIS is developed to assess the financial condition (FC) of the company. Moreover, for circumstances related to the identification of individual weakly structured factors (signs). The proposed model makes it possible to increase the understanding of the analyzed economic processes related to the company's financial system. An iterative algorithm for IIS has been developed that implements a model of cognitive modeling. The scientific novelty of the proposed approach lies in the fact that, unlike existing solutions, it is possible to adjust the structure of the algorithm depending on the characteristics of a particular company, as well as form the information basis for the process of assessing the company's FC and the parameters of the cognitive model.References
REFERENCES
Swiderski, B., Kurek, J., & Osowski, S. (2012). Multistage classification by using logistic regression and neural networks for assessment of financial condition of company. Decision Support Systems, 52(2), 539-547.
Kostyukova, E. I., Yakovenko, V. S., et al. (2017). Evaluation of the company's financial condition from the position of different groups of stakeholders. Revista ESPACIOS, 38(33).
Rafiei, F. M., Manzari, S. M., & Bostanian, S. (2011). Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence. Expert systems with applications, 38(8), 10210-10217.
Liang, L., & Wu, D. (2005). An application of pattern recognition on scoring Chinese corporations financial conditions based on backpropagation neural network. Computers & Operations Research, 32(5), 1115-1129.
Borodin, A., Mityushina, I., Streltsova, E., Kulikov, A., Yakovenko, I., & Namitulina, A. (2021). Mathematical modeling for financial analysis of an enterprise: Motivating of not open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 79.
Borodin, A. I., Tatuev, A. A., Shash, N. N., Lyapuntsova, E. V., & Rokotyanskaya, V. V. (2015). Economic-mathematical model of building a company's potential. Asian Social Science, 11(14), 198.
Loginovskiy, O. V., Dranko, O. I., & Hollay, A. V. (2018). Mathematical models for decision-making on strategic management of industrial enterprise in conditions of instability. In Leipzig: CEUR Workshop Proceedings (Vol. 2093, pp. 1-12).
Iremadze, E. O., & Antonova, N. A. (2016). Prediction of financial indicators of a company using mathematical methods. International Research Journal, (11-1(53)), 36-38.
Dziamulych, M., Moskovchuk, A., Vavdiiuk, N., Kovalchuk, N., Kulynych, M., & Naumenko, N. (2021). Analysis and economic and mathematical modeling in the process of forecasting the financial capacity of milk processing enterprises of the agro-industrial sector: a case study of Volyn region, Ukraine. Scientific Papers Series "Management, Economic Engineering in Agriculture and Rural Development, 21(1), 259-272.
Lakhno, V., Adilzhanova, S., Ydyryshbayeva, M., Turgynbayeva, A., Kryvoruchko, O., Chubaievskyi, V., Desiatko, A. Adaptive Monitoring of Companies' Information Security (2023) International Journal of Electronics and Telecommunications, 69 (1), pp. 75-82.
Lakhno, V., Mazaraki, A., Kasatkin, D., Kryvoruchko, O., Khorolska, K., Chubaievskyi, V. Models and Algorithms for Optimization of the Backup Equipment for the Intelligent Automated Control System Smart City (2023) Lecture Notes in Networks and Systems, 383, pp. 749-762.
Lakhno, V., Akhmetov, B., Smirnov, O., Chubaievskyi, V., Khorolska, K., Bebeshko, B. Selection of a Rational Composition of Information Protection Means Using a Genetic Algorithm (2023) Lecture Notes on Data Engineering and Communications Technologies, 131, pp. 21-34.
Alshatti, Ali Sulieman. "The effect of credit risk management on financial performance of the Jordanian commercial banks." Investment management and financial innovations 12.1 (2015): 338-345.
Akhmetov, B., Lakhno, V., Boiko, Y., Mishchenko, A. Designing a decision support system for the weakly formalized problems in the provision of cybersecurity (2017) Eastern-European Journal of Enterprise Technologies, 1 (2-85), pp. 4-15.
Olena Shkarupa, Viktoriia Boronos, Dmytro Vlasenko and Kostiantyn Fedchenko (2021). Multilevel transfer of innovations: Cognitive modeling to decision support in managing the economic growth. Problems and Perspectives in Management, 19(1), 151-162. doi:10.21511/ppm.19(1).2021.13
Axelrod, R. (1976). The analysis of cognitive maps. In R. Axelrod (Ed.), Structure of Decision: The Cognitive Maps of Political Elites (pp. 55-73). Princeton, NY: Princeton University Press.
Valeriy, L., Andrii, S., Vladyslav, K., Elena, P., Anatolii, C., Nataliia, U. (2022). Evaluation of the Probability of Breaking the Electronic Digital Signature Elements. In: Karrupusamy, P., Balas, V.E., Shi, Y. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-16-6605-6_48
Terentiev, O., Prosiankina-Zharova, T., Savastiyanov, V., Lakhno, V., & Kolmakova, V. (2021). The Features of Building a Portfolio of Trading Strategies Using the SAS OPTMODEL Procedure. Computation, 9(7), 77.
Hulak, H.M., Lakhno, V.–ê., & Adiljanova, S.A. (2020).Method for Rational Management of the Cybersecurity and Reliability Radio Technical Systems. Visnyk NTUU KPI Seriia-Radiotekhnika Radioaparatobuduvannia, (83), 62-68.
Kartbayev, T., Akhmetov, B., et al. Development of decision support system based on feature matrix for cyber threat assessment (2019) International Journal of Electronics and Telecommunications, 65 (4), pp. 545-550.
Busemeyer, J. R., & Diederich, A. (2010). Cognitive modeling. Sage.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 International Journal of Electronics and Telecommunications
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.
2. Author’s Warranties
The author warrants that the article is original, written by stated author/s, has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author/s. The undersigned also warrants that the manuscript (or its essential substance) has not been published other than as an abstract or doctorate thesis and has not been submitted for consideration elsewhere, for print, electronic or digital publication.
3. User Rights
Under the Creative Commons Attribution license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions: 1. they must attribute the contribution in the manner specified by the author or licensor, 2. they may alter, transform, or build upon this work, 3. they may use this contribution for commercial purposes.
4. Rights of Authors
Authors retain the following rights:
- copyright, and other proprietary rights relating to the article, such as patent rights,
- the right to use the substance of the article in own future works, including lectures and books,
- the right to reproduce the article for own purposes, provided the copies are not offered for sale,
- the right to self-archive the article
- the right to supervision over the integrity of the content of the work and its fair use.
5. Co-Authorship
If the article was prepared jointly with other authors, the signatory of this form warrants that he/she has been authorized by all co-authors to sign this agreement on their behalf, and agrees to inform his/her co-authors of the terms of this agreement.
6. Termination
This agreement can be terminated by the author or the Journal Owner upon two months’ notice where the other party has materially breached this agreement and failed to remedy such breach within a month of being given the terminating party’s notice requesting such breach to be remedied. No breach or violation of this agreement will cause this agreement or any license granted in it to terminate automatically or affect the definition of the Journal Owner. The author and the Journal Owner may agree to terminate this agreement at any time. This agreement or any license granted in it cannot be terminated otherwise than in accordance with this section 6. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
7. Royalties
This agreement entitles the author to no royalties or other fees. To such extent as legally permissible, the author waives his or her right to collect royalties relative to the article in respect of any use of the article by the Journal Owner or its sublicensee.
8. Miscellaneous
The Journal Owner will publish the article (or have it published) in the Journal if the article’s editorial process is successfully completed and the Journal Owner or its sublicensee has become obligated to have the article published. Where such obligation depends on the payment of a fee, it shall not be deemed to exist until such time as that fee is paid. The Journal Owner may conform the article to a style of punctuation, spelling, capitalization and usage that it deems appropriate. The Journal Owner will be allowed to sublicense the rights that are licensed to it under this agreement. This agreement will be governed by the laws of Poland.
By signing this License, Author(s) warrant(s) that they have the full power to enter into this agreement. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
