2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2017-2-1-40-471070SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGECOMPARATIVE ANALYSIS OF THE USE MULTI-CRITERIA METHODSCOMPARATIVE ANALYSIS OF THE USE MULTI-CRITERIA METHODSPutivtsevaNatalya PavlovnaPutivtsevaNatalya Pavlovnaputivzeva@bsu.edu.ruPusnayaOlga PetrovnaPusnayaOlga Petrovnapusnaya@bsu.edu.ruIgrunovaSvetlana VasilievnaIgrunovaSvetlana Vasilievnaigrunova@bsu.edu.ruZaitsevaTatyana ValentinovnaZaitsevaTatyana Valentinovnazaitseva@bsu.edu.ruNesterovaElena VictorovnaNesterovaElena Victorovnanesterova@bsu.edu.ru20172100

The paper defines the characteristics of methods of multi-criteria selection in fuzzy initial data because the decision-making problems appear both in scientific, and in daily activities. The same task of choosing a location for the construction of the airport is solved with the use of the theory of fuzzy sets, the ELECTRE method, the analytical hierarchical procedure and method of accounting of information parameters for formalized assessment and obtained results differ. Comparative characteristics and featured of each of the method were described. On the basis of carried analysis it was proved that for a reasonable comparison of the results it is preferable to use the formal assessment or the AHP. But if you need to get not only the ranking of the alternatives according to their preference, but the quantitative assessment of these preferences, it is more advisable to use the analytical hierarchical procedure.

The paper defines the characteristics of methods of multi-criteria selection in fuzzy initial data because the decision-making problems appear both in scientific, and in daily activities. The same task of choosing a location for the construction of the airport is solved with the use of the theory of fuzzy sets, the ELECTRE method, the analytical hierarchical procedure and method of accounting of information parameters for formalized assessment and obtained results differ. Comparative characteristics and featured of each of the method were described. On the basis of carried analysis it was proved that for a reasonable comparison of the results it is preferable to use the formal assessment or the AHP. But if you need to get not only the ranking of the alternatives according to their preference, but the quantitative assessment of these preferences, it is more advisable to use the analytical hierarchical procedure.

decision makingmulti-criteria selectiontheory of fuzzy setsELECTREAnalytical Hierarchical Proceduredecision makingmulti-criteria selectiontheory of fuzzy setsELECTREAnalytical Hierarchical ProcedureСписок литературы1. Bljumin S.L., Shmyrin A.M., Shmyrina O.A. Presentation of non-linear fuzzy-neighborhood systems. // Management Issues. 2005. №2. 37-40.2. Bljumin S.L., Shmyrin A. M. Application of fuzzy measures and integrals to the description of fuzzy dynamic systems // Management Issues. 2005. №3. P. 20-22.3. Kuz'menko O.L. Multi-criteria selection and decision-making based on expert knowledge and fuzzy recognition of situations: the Dissertation of the candidate of technical sciences. Taganrog, 2008, 175 p.4. Larichev O. I. Theory and methods of decision-making, as well as the chronicle of events in a magical land. Moscow: Logos, 2000, 296 p.5. On the development computer support package decision to select the correlation-regression model analysis and prediction of empirical data / Putivceva N.P., Zajceva T.V., Igrunova S.V., Nesterova E.V., Pusnaja O.P. // Belgorod State University Scientific Bulletin. Economics Information technologies: Izd-vo BelGU. 2015. #197(216). Vypusk 36/1 P.126-131.6. Saati. T. Making decisions. The method of analysis of hierarchies R. G. Vachnadze. Moscow: Radio i svjaz', 1993. 7. Uhobotov V. I. Selected chapters of fuzzy set theory. Chelyabinsk: Izd-vo Cheljab. gos. un-ta. 2011. 245 p.8. Shamysheva O.N. Decision theory. Vladimir: Vladim. Gos. Univ-t. 2005. 27 p.