FORMATION OF AN INFORMATION IMAGE OF A GRADUATE OF A MODERN UNIVERSITY USING A FUZZY-GRANULAR APPROACH

Валерия Александровна Безуевская

doi:10.25559/SITITO.14.201802.472-479

Валерия Александровна Безуевская Surgut State University http://orcid.org/0000-0002-5744-0811

DOI: https://doi.org/10.25559/SITITO.14.201802.472-479

Abstract

The paper investigates the main problems faced by specialists in the process of selecting of intellectual workplaces (IWP) which are associated with the features of the initial data, inaccurate formulation of the technical specifications for the system, the lack of a single criterion for the effectiveness of IWP. The approach to the formation of IWP in the creation of electronic information and educational environment of the University using the mathematical apparatus of fuzzy sets. On the base of the standard list of characteristics the unified structure of requirements is offered, allowing to consider features of IWP, as an element of the automated training, and features of the solution of tasks of processing of educational and administrative information. The most essential requirements are IWP performance, flexibility, universality, compatibility with control systems and laboratory equipment. When solving the problem of choosing the IWP for processing educational and management information, it is proposed to formalize the generalized requirements in the form of linguistic assessments using the apparatus of the theory of fuzzy sets and use the data structure to represent the parameters and requirements for the IWP. The fuzzy-multiple approach allowing to estimate the formed IWP on the base of the offered structure of requirements is developed. To describe the information space, a combination of logical-linguistic modeling approaches using the apparatus of the general theory of uncertainty and methods of non-factors is proposed. The resulting estimates were aggregated into a final IWP estimate. The proposed simulation allows establishing a fuzzy-multiple relationship between the input parameters of the IWP and its compliance with the proposed system requirements. The results obtained in the work allow forming an information image of a graduate of a modern University using IWP.

Author Biography

Валерия Александровна Безуевская, Surgut State University

candidate of pedagogical sciences, Associate Professor, Vice-Rector for development, science and innovation work

References

[1] Robert I.V. Developing educational standards, corresponding to modern requirements for the qualification of specialists in the field of automation and management. Proceedings of the International Symposium "Quality and Reliability". 25 May-31 May, 2006, Penza. PGU. Vol. 2, pp. 5-6, 2006. Available at: https://elibrary.ru/item.asp?id=15622584 (accessed 21.04.2018). (In Russian)
[2] Robert I.V. Theory and method of informatization of education. Psycho-pedagogical and technological aspects. Moscow: BINOM. Laboratory of knowledge, 2014. 398 p. (In Russian)
[3] Bezuevskaja V.A. Сompetitions of University development programs: unreal reality. Innovative Development of Economy. 2018; 1(43):425-429. Available at: https://elibrary.ru/item.asp?id=32768723 (accessed 21.04.2018). (In Russian)
[4] Lezhebokov A.A., Gladkov L.A. Teacher's workstation with intellectual support. Programmnye Produkty i Sistemy = Software & Systems. 2005; 4:48-50. Available at: http://www.swsys.ru/index.php?page=article&id=493&lang= (accessed 21.04.2018). (In Russian)
[5] UNESCO IITE’s Medium-Term Strategy for 2018-2021. M.: UNESCO Institute for Information Technolo-gies in Education, 2018. 27 p. Available at: https://iite.unesco.org/wp-content/uploads/2018/03/IITE-Mid-Term-Strategy-2018-2021.pdf (accessed 21.04.2018).
[6] Prokopchina S.V. Create a developing information technologies regular’s based on the Bayesian approach. Proceedings of the International Conference on soft computing and measurements "SCM-2005". St. Petersburg, рр. 48-57, 2005. (In Russian)
[7] Gavrilova T.A., Khoroshevsky V.F. Knowledge base of intelligent systems. St. Petersburg, 2000. 384 p. (In Russian)
[8] Razumovsky D.V. Process quality e-Learning factors. Open Education. 2009; 2:79-85. (In Russian)
[9] Kureichik V.V., Bova V.V., Nuzhnov E.V., Rodzin S.I. The integrated tool environment of innovative educational processes supporting. Open Education. 2010; 4:101-111. (In Russian)
[10] Kramarov S.O. On the competitiveness of higher education in Russia (distance-learning round table). Vestnik Analitiki. 2010; 3:92-97. (In Russian)
[11] Lebedeva I.E., Okhotnikova N.V., Potapova E.A. Electronic educational environment of high school: the requirements, capabilities, experience and perspectives of application. World of Science. Pedagogy and psychology. 2016; 4(2):57PDMN216. Available at: https://mir-nauki.com/PDF/57PDMN216.pdf (accessed 21.04.2018). (In Russian)
[12] Kudrina E.V., Anofrikova N.S. Functioning electronic information and education process in SGU. Proceedings of the VIII International scientific-practical Conference: Information technologies in education "ITO-Saratov-2016". pp. 368-372, 2016. (In Russian)
[13] Kudrina E.V., Ogneva M.V. Remote support face-to-face learning using MOODLE platform. Proceedings of the Second all-Russian scientific-practical Conference "Basic science and education" (Biysk, 30 January -1 February 2008). Biysk: V.M. Shukshin’s University, pp. 271-273, 2008. (In Russian)
[14] Kramarov S.O., Sokolov S.V., Sokolov S.М., Taran V.N. Methods of analysis and synthesis system intelligently-adaptive control. M.: INFRA-M, 2016. 238 p. (In Russian)
[15] Kramarov S.O., Ignatenko Yu.P., Cai A.V. Create effective protection information university’s in the corporative space. Proceedings of the Interuniversity scientific-practical Conference "New information technologies-training space in e-learning: content, problems, and prospects" (Azov, April, 2007). Azov: AzovPechat, pp. 11-18, 2007. (In Russian)
[16] Kramarov S., Shakharova L., Khramov V. Soft computing in management: management of complex multivariate systems based on fuzzy analog controllers. Scientific bulletin of the Southern Institute of Management. 2017; 3(19):42-51. (In Russian) DOI: 10.31775/2305-3100-2017-3-42-51
[17] Kramarov S.O., Mitjasova O.Yu., Sokolov S.V., Tishchenko E.N., Shevchuk P.S. Cryptographic protection of information. S.O. Kramarov (Ed). М.: INFRA-M, 2018. 321 p. DOI: https://doi.org/10.12737/1716-6 (In Russian)
[18] Kramarov S., Temkin I., Khramov V. The principles of formation of united geo-informational space based on fuzzy triangulation. Procedia Computer Science. 2017; 120:835-843. DOI: 10.1016/j.procs.2017.11.315
[19] Vovchenko N., Kramarov S., Sokolova O., Bocharov A. The realization of elastic fuzzy operators based on optic-electronic technology. Procedia Computer Science. 2017; 120:844-847. DOI: 10.1016/j.procs.2017.11.316
[20] Groshev A.R., Pelihov N.V., Rodionov A.V. Designing of the educational products focused on inquiries of regional business. Journal University Management: Practice and Analysis. 2009; 6(64):44-51. Available at: https://elibrary.ru/item.asp?id=13502905 (accessed 21.04.2018). (In Russian)
[21] Zaporozhets D.Yu., Kravchenko Yu.A., Lezhebokov А.А. Data mining methods in complex systems. The News of KBSC of RAS. 2013; 3:52. (In Russian)
[22] Kramarov S.O. Systematic approach in addressing the problems of regional informatization of education system. Proceedings of the South (Rostov) of informatization of education. Rostov-on-Don: RGPU, pp. 15-27, 2006. (In Russian)
[23] The concept of development of further education and youth policy in the Khanty-Mansi autonomous district-Yugra. ANO-DPO Otkrytoe Obrazovanie. Available at: http://www.opencu.ru/page/koncepcija-razvitija-dod-chmao (accessed 21.04.2018). (In Russian)
[24] Nedosekin D.D., Prokopchina S.V., Chernavsky E.A. Intellectualization information technology measure-ment processes. SPb.: Energoatomizdat, 1995. 178 p.
[25] Kravchenko Y.A. Synthesis of heterogeneous knowledge based on ontologies. Izvestiya SFedU. Engineering Sciences. 2012; 11(136):216-221. Available at: https://elibrary.ru/item.asp?id=18225609 (accessed 21.04.2018). (In Russian)
[26] Korneev V.V., Gareev A.F., Vasyutin S.V., Reich V.V. Database. Intelligent information processing. M.: Knowledge, 2003. 352 p. (In Russian)
[27] Kulinich A.A. Contingency, cognitive and semiotic approaches to decision-making in the organizations. Open Education. 2016; 6:9-17. DOI: 10.21686/1818-4243-2016-6-9-17 (In Russian)
[28] Narinjani A.S. Nedoopredeljonnost in submission and processing systems of knowledge. Izvestiya akademii nauk USSR. Tekhnicheskaya kibernetika = Engineering Cybernetics. 1986; 5:3-28. (In Russian)
[29] Narinjani A.S. Non-Factors: STATE OF ART. Scientific session MIFI. 2004; 3:26-30. (In Russian)
[30] Zadeh L.A. Fuzzy Sets. Information and Control. 1965; 8(3):338-353. DOI: 10.1016/S0019-9958(65)90241-X
[31] Zadeh L.A. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man, and Cybernetics. 1973; SMC-3(1):28-44. DOI: 10.1109/TSMC.1973.5408575
[32] Pospelov D.A. Fuzzy sets in management models and artificial intelligence. M.: Nauka, Fizmatlit, 1986. 312 p. (In Russian)
[33] Tarassov V.B., Kalutskaya A.P., Svyatkina M.N. Granular, fuzzy and linguistic ontologies to enable mutu-al understanding between cognitive agents. Proceedings of the Second International. Scientific-Technical Conference Open Semantic Technologies for Intelligent Systems (OSTIS-2012). Minsk: BSUIR, pp. 267-278, 2012. Available at: http://conf.ostis.net/images/a/ad/Изданные_материалы_OSTIS-2012.pdf (accessed 21.04.2018). (In Russian)