SCIENCE & EDUCATION

References

1.               Norenkov I.P. Intellektual'nye tekhnologii na baze ontologii [Intellectual technologies on the base of ontologies]. Informatsionnye tekhnologii, 2010, no. 1, pp. 17-23.

2.               Tolcheev V.O. Metody vyyavleniya informatsionnykh priznakov v zadachakh klassifikatsii tekstovykh dokumentov [Methods of feature selection in text categorization tasks]. Informatsionnye tekhnologii, 2005, no. 8, pp. 14-21.

3.               The Dublin Core® Metadata Initiative. Available at: http://dublincore.org/ , accessed 01.10.2013.

4.               Karpenko A.P., Sokolov N.K. Otsenka slozhnosti semanticheskoy seti v obuchayushchey sisteme [Complexity estimation of semantic network into a tutoring system]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2008, no. 11. Available at: http://technomag.edu.ru/doc/106658.html , accessed 01.10.2013.

5.               Karpenko A.P., Sokolov N.K. Rasshirennaya semanticheskaya set' obuchayushchey sistemy i otsenka ee slozhnosti [Expanded semantic network of a tutoring system and its complexity measures]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2008, no. 12. Available at: http://technomag.edu.ru/doc/111716.html , accessed 01.10.2013.

6.               Galyamova E.V., Karpenko A.P., Sokolov N.K. Metodika kontrolya ponyatiynykh znaniy sub"ekta obucheniya v obuchayushchey sisteme [Technique of the control of conceptual knowledge of the subject of training in training system]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2009, no. 2. Available at: http://technomag.edu.ru/doc/115086.html , accessed 01.10.2013.

7.               Karpenko A.P., Sokolov N.K. Mery slozhnosti semanticheskoy seti v obuchayushchey sisteme [Complexity Measures of Semantic Network of Learning System]. Vestnik MGTU im. Baumana. Ser. Mashinostroenie. [Herald of the Bauman MSTU. Ser. Instrument Engineering], 2009, no. 1 (74), pp. 50-66.

8.               Galyamova E.V., Karpenko A.P., Sokolov N.K., Yagudaev G.G. Kontrol' ponyatiynykh znaniy sub"ekta obucheniya v obuchayushchey sisteme [Control of conceptual knowledge of the subject of training in training system]. Vestnik MADI (GTU), 2009, no. 2(17), сpp 82-86.

9.               Kogalovskiy M.R. Perspektivnye tekhnologii informatsionnykh system [Prospective technologies of information systems]. Moscow, DMK Press; Kompaniya AyTi Publ., 2003. 288 p.

10.            Karpenko A.P. Otsenka relevantnosti dokumentov ontologicheskoy bazy znaniy [Estimating document relevance in ontology knowledge base]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2010, no. 9. Available at: http://technomag.edu.ru/doc/157379.html , accessed 01.10.2013.

11.            Lotov A.V., Pospelova I.I. Mnogokriterial'nye zadachi priniatiia reshenii [Multicriterion problems of decision making]. Moscow, MAKS Press, 2008. 197 p.

12.            Zhang Q., Li H. MOEA/D: A multiobjective evolutionary algorithm based on decomposition. IEEE Transactions on Evolutionary Computation, 2007, vol. 11, no. 6, pp. 712-731. DOI: 10.1109/TEVC.2007.892759

13.            Karpenko A.P., Mukhlisullina D.T., Ovchinnikov V.A. Neyrosetevaya approksimatsiya funktsii predpochteniy litsa, prinimayushchego resheniya, v zadache mnogokriterial'noy optimizatsii [Neural network approximation of decisions maker's utility function in multicriteria optimization problem]. Informatsionnye tekhnologii, 2010, no. 10, pp. 2-9.

14.            Mukhlisullina D.T., Moor D.A., Karpenko A.P. Mnogokriterial'naya optimizatsiya na osnove nechetkoy approksimatsii funktsii predpochteniy litsa, prinimayushchego resheniya [Multi-criteria optimization based on fuzzy approximation of the preferences function of a decision maker]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2010, no. 1. Available at: http://technomag.edu.ru/doc/135375.html , accessed 01.10.2013.

15.            Karpenko A.P., Fedoruk V.G. Approksimatsiya funktsii predpochteniy litsa, prinimayushchego resheniya, v zadache mnogokriterial'noy optimizatsii. 3. Metody na osnove neyronnykh setey i nechetkoy logiki [Approximation of functions of the preferences of the decision maker in multicriteria optimization problem. 3. Methods based on neural networks and fuzzy logic]. Nauka i obrazovanie MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2008, no. 4. Available at: http://technomag.edu.ru/doc/86335.html , accessed 01.10.2013.

16.            Mihalcea R. Using Wikipedia for Automatic Word Sense Disambiguation. In: Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL 2007), Rochester, NY, USA, April 2007, pp. 196-203.