Abstract
The new methods, algorithms and software tools have been developed to increase the reliability of information based on the extraction and use of quantitative, qualitative, specific characteristics, useful properties (interrelations between elements of document concept relationships). New approaches and principles to improve the traditional techniques and developed new methods of processing documents using a database (DB) and setup knowledge base (KB) to optimize the accuracy of the information have been proposed. The algorithms of increase of reliability of elements of the concept of the input document based on the proximity measures and comparison with the elements of the test set – model, and mechanisms for setting BZ binary matrix implications. Tools of structural model application, extraction of interelement connections, compression of description space, use of statistical, dynamic, specific characteristics and features of the document for detection and correction of the distorted information taking into account parameters of influence of external environment are designed. The effectiveness of the algorithms was investigated by the criteria of reliability, complexity and cost of information processing.
First Page
49
Last Page
57
References
1. M.R.Kogalovskij, Perspektivnye tekhnologii informacionnyh system [Advanced information system technologies]. Moskva: DMK Press: Kompaniya AjTi, 2003, 288 p. (in Russian).
2. Cisco Visual Networking Index: Forecast and Methodology, 2011 – 2016, May 30, 2012.
3. Horoshko M.B. Modifikaciya algoritma bulevogo poiska [Modification of the Boolean search algorithm]/ M. B. Horoshko // Izvestiya vysshih uchebnyh zavedenij. Severo-Kavkazskij region. Seriya: Tekhnicheskie nauki. - 2011 № 3 - S. 14-18.
4. T. A.Gavrilova, V. F.Horoshevskij, Bazy znanij intellektual'nyh system [Knowledge bases of intelligent systems]. Sankt-Peterburg: Piter, 2000, 384 p. (in Russian).
5. A.E.Ermakov, “Izvlechenie znanij iz teksta i ih obrabotka: sostoyanie i perspektivy” [Extracting knowledge from text and processing it: status and prospects], Informacionnye tekhnologii, no. 7, pp. 50-55, 2009 (in Russian).
6. G.N.Hubaev, “Algoritm sravneniya slozhnyh sistem po kriteriyu funkcional'noj polnoty” [Algorithm for comparing complex systems based on functional usefulness criteria], Materialy konferencii «Ekonomiko- organizacionnye problemy analiza, proektirovaniya i primeneniya informacionnyh sistem», 2007 (in Russian).
7. I.I.Jumanov, A.R.Akhatov, “The control of information transfer reliability in intellectual control systems on the basis of statistical redundancy”, Sixth World Conference on Intellectual Systems for Industrial Automation, Tashkent, 2010, pp. 70-75.
8. ZHumanov I.I., A.R.Ahatov, “Intellektual'nyj kontrol' dostovernosti tekstovoj informacii na osnove ucheta svojstv i raspredelenij dannyh” [Intelligent control of the reliability of text information based on data properties and distributions], Himicheskaya tekhnologiya. Kontrol' i upravlenie, no. 1 (37), pp. 41-47, 2011 (in Russian).
9. K.V.Voroncov, “Obzor sovremennyh metodov po probleme kachestva obucheniya algoritmov” [Review of modern methods on the problem of quality of learning algorithms], Tavricheskij vestnik informatiki i matematiki, no. 1, pp. 5-25, 2004 (in Russian).
10. N.G.Zagorujko, O.A.Kutnenko, A.O.Zyryanov i dr., “Obuchenie raspoznavaniyu obrazov bez pereobucheniya” [Learning to recognize images without retraining], Mashinnoe obuchenie i analiz dannyh, vol. 1, no. 7, pp.891-901, 2014 (in Russian).
11. M.M.Kamilov, A.H.Nishanov, R.ZH.Beglerbekov, “Primenenie reshayushchego pravila dlya vybora informativnyh naborov priznakov” [Applying a decision rule to select information sets of features], Himicheskaya tekhnologiya. Kontrol' i upravlenie, no. 3, pp. 82-85, 2017 (in Russian).
12. SH.H.Fazylov, A.H.Nishanov, N.S.Mamatov, Metody i algoritmy vybora informativnyh priznakov na osnove evristicheskih kriteriev informativnosti [Methods and algorithms for selecting informative features based on heuristic criteria of informativeness]. Tashkent: Fan va texnologiya, 2017, 132 p. (in Russian).
13. I.I.Jumanov, A.R.Ahatov, S.A.Tishlikov, “Adaptivnye algoritmy optimizacii processov obnaruzheniya i ispravleniya oshibok v sisteme obrabotki tekstov” [Adaptive algorithms for optimization of error detection and correction processes in the text processing system], Vestnik TUIT, no. 3/2011, pp. 31-37, 2011 (in Russian).
Recommended Citation
Jumanov, I.I. and Karshiev, Kh.B.
(2019)
"An improvement of information reliability for electronic documents based on knowledge bases with implication matrix adjustment,"
Chemical Technology, Control and Management: Vol. 2019:
Iss.
3, Article 6.
DOI: https://doi.org/10.34920/2019.3.49-57
