350 rub
Journal Neurocomputers №10 for 2014 г.
Article in number:
The solution of the-multicriteria task of choice of the test task in the decision support system
Keywords: markov models decision support systems Bayesian approach multi-criteria tasks
Authors:
P.N. Dumin - Post-graduate Student, Information Technology Faculty, Moscow State University of Psychology and Education. E-mail: dumin.pn@gmail.com
Abstract:
Presented the application of the method for solving multi-criteria task selecting the preferred test in the decision support system for teacher testing. The calculation in this case is produced by a method PROMETHEE. Probability of staying in various states of the Markov model described by the system of differential equations of Kolmogorov. For each diagnosed group and for each test contained in the system, it is necessary to create a model that reflects the dynamics of the test subject. Next, using the Bayesian approach is necessary to calculate the probability of inclusion of the test to each diagnosed class. Using such estimates as the input data to solve the problem of constructing a sequence of tests ranged. Application of this method is due to the flexibility of the implementation, as well as the opportunity to build as a result close to the optimal sequence of passing the tests.
Pages: 47-51
References

  1. Kuravskiy L. S., Margolis A. A., Yur'ev G. A., Marmalyuk P. A. Kontseptsiya sistemy podderzhki prinyatiya resheniy dlya psikhologicheskogo testirovaniya. Psikhologicheskaya nauka i obrazovanie. 2012. № 1. C. 56 - 65.
  2. Kuravskiy L. S., Margolis A. A., Marmalyuk P. A., Yur'ev G. A., Dumin P. N. Obuchaemye markovskie modeli v zadachakh optimizatsii poryadka pred''yavleniya psikhologicheskikh testov. Neyrokomp'yutery: razrabotka, primenenie. 2013. № 4. S. 28 - 38.
  3. Dumin P. N. Programmnaya realizatsiya «sistemy podderzhki prinyatiya resheniy dlya psikhologicheskogo i pedagogicheskogo testirovaniya». Psikhologicheskaya nauka i obrazovanie. 2012. № 5. C. 50 - 57.
  4. Yeltarenko Ye. A. Otsenka i vybor resheniy po mnogim kriteriyam. M.: MIFI. 1995. 111 s.
  5. Kuravskiy L. S., Ivanova Ye. G. Primenenie obuchaemykh mnogofaktornykh setey Markova dlya issledovaniya fonetiko-fonematicheskogo razvitiya rechi. Neyrokomp'yutery: razrabotka, primenenie. 2009. № 9. S. 33 ? 38.
  6. Kuravskiy L. S., Yur'ev G. A. Adaptivnoe testirovanie kak Markovskiy protsess: modeli i ikh identifikatsiya. Neyrokomp'yutery: razrabotka, primenenie. 2011. № 2. S. 28 - 38.
  7. Boatemaa B. Multi Criteria Ranking of Telecommunication Carriers using Promethee Method. Master-s Thesis. Kwame Nkrumah University of science and technology, Ghana, 2012.