Identification of preferences in decision support systems

Beskorovainyi, V.; Berezovskyi, H.

Публікація:
Identification of preferences in decision support systems

dc.contributor.author	Beskorovainyi, V.
dc.contributor.author	Berezovskyi, H.
dc.date.accessioned	2018-03-27T13:54:10Z
dc.date.available	2018-03-27T13:54:10Z
dc.date.issued	2017
dc.description.abstract	In this work we obtained the solution of increasing of adequacy of models of multicriteria evaluation for the project and management decision support systems. Modifications of the utility functions of partial criteria and the procedure for calculating their values are proposed, which makes it possible to improve the accuracy of approximation of the preferences of the person making the decision, as well as significantly reduce the time for calculating their values. For the parametric synthesis of universal multicriteria estimation models based on the Kolmogorov-Gabor polynomial, an improvement in the method of comparator identification by calculating the Chebyshev point and the discrepancy vector is proposed	uk_UA
dc.identifier.citation	Beskorovainyi V. Identification of preferences in decision support systems / V. Beskorovainyi, H. Berezovskyi // Econtechmod. An international quarterly journal on economics in technology,new technologies and modelling processes – 2017. – Vol. 6, № 4 – P. 85–90.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4433
dc.language.iso	en	uk_UA
dc.publisher	LUBLIN–RZESZOW	uk_UA
dc.subject	decision support	uk_UA
dc.subject	multi-criteria optimization	uk_UA
dc.subject	utility function of partial criteria	uk_UA
dc.title	Identification of preferences in decision support systems	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication