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The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the example of the Republic of Tatarstan)

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dc.contributor.author Shikhalev A.
dc.contributor.author Akhmetova I.
dc.contributor.author Vorontsov D.
dc.contributor.author Hamidullina G.
dc.contributor.author Kashapov N.
dc.contributor.author Rozhko O.
dc.date.accessioned 2020-01-15T21:52:43Z
dc.date.available 2020-01-15T21:52:43Z
dc.date.issued 2019
dc.identifier.issn 1757-8981
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156367
dc.description.abstract © 2019 IOP Publishing Ltd. All rights reserved. We propose to analyse the multicriteria problem decision making process on the logistic objects placement example and are planning to solve the task in the following steps. We will try to find the alternative optimum to the analysed criteria and ranging the other alternatives beyond the optimum variant which will have the biggest conditional scores volume. The next stage is based on the decision-making person actions which are concerned with the maximizing the rationality in the quasioptimum variants choice. After that basing on the conditions with the big alternative number set the optimum variant could be added by the decisionmaker with the quasioptimum variants (decisions) in three stages. First of all it is necessary to establish the threshold value size in the interactive mode for the next calculations. On the second item of the process the manager mark the significance level for the subsequent set decomposition and then clustering it with the display of the districts multitude (like the images) on a spectral colors manifold (i.e. prototypes). And at last at the third step we propose the adjustment of quasioptimum alternatives number basing on the first choice being guided by the colors of its classes.
dc.relation.ispartofseries IOP Conference Series: Materials Science and Engineering
dc.title The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the example of the Republic of Tatarstan)
dc.type Conference Paper
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 570
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS17578981-2019-570-1-SID85072071065


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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